PopGenBase introduction meeting at the American Society of Tropical Medicine and Hygiene targeted for vector biologists, ecologist and epidemiologists. PopGenBase are designed to hold genetic variation data for natural populations of mosquitoes.
From peer-reviewed to peer-reproduced: a role for research objects in scholar...Alejandra Gonzalez-Beltran
The document discusses how research objects and computational workflows can help capture experimental processes and reproduce findings in life sciences research. It describes a computational experiment evaluating three genome assembly algorithms on bacterial, insect, and human genomes. Key steps included identifying resources, designing the experimental workflow, running the experiment in Galaxy, and publishing results as nanopublications aggregated in a research object to enable verification and reuse. The goal is to improve reproducibility by making experimental descriptions and reviews more structured and transparent.
The document describes the Cassava Genome Hub, which provides big genomic data management and analysis resources for cassava. It discusses how the hub handles big data through its architecture and tools. The hub stores terabytes of cassava genomic, transcriptomic and other omics data. It provides tools like JBrowse, SNiPlay, GIGWA and Galaxy to enable visualization, exploration and analysis of the large datasets.
The document discusses the ISA infrastructure, which provides a framework for tracking metadata in bioscience experiments from data collection to sharing in linked data clouds. The infrastructure includes a metadata syntax, open source software tools, and a user community. It allows annotation of experimental metadata, materials, and processes using ontologies to make semantics explicit and enable integration and knowledge discovery. The infrastructure is growing with over 30 public and private resources adopting it to facilitate standards-compliant sharing of investigations across life science domains.
The document discusses the ISA infrastructure, which provides a standardized format (ISA-TAB) for experimental metadata and data exchange. It can be used across various domains like toxicology, systems biology, and nanotechnology. The Risa R package integrates experimental metadata with analysis and allows updating metadata. Nature Scientific Data is a new publication for describing valuable datasets. The ISA framework has been adopted by over 30 public and private resources and is growing in use for facilitating reuse of investigations in various life science domains. Toxicity examples include EU projects on predictive toxicology and a rat study of drug candidates. Questions can be directed to the ISA tools group.
Bio-GraphIIn is a graph-based, integrative and semantically enabled repository for life science experimental data. It addresses the need for a system that supports retrospective data submissions, handles heterogeneous experimental data, and overcomes the fragmentation of existing data formats and databases. Bio-GraphIIn uses the Investigation/Study/Assay (ISA) framework and ontologies to semantically represent experimental metadata and enable rich queries across studies, with the goal of facilitating integrative data analysis.
Apollo and i5K: Collaborative Curation and Interactive Analysis of GenomesMonica Munoz-Torres
Precise elucidation of the many different biological features encoded in a genome requires a careful curation process that involves reviewing all available evidence to allow researchers to resolve discrepancies and validate automated gene models, protein alignments, and other biological elements. Genome annotation is an inherently collaborative task; researchers only rarely work in isolation, turning to colleagues for second opinions and insights from those with expertise in particular domains and gene families.
The i5k initiative seeks to sequence the genomes of 5,000 insect and related arthropod species. The selected species are known to be important to worldwide agriculture, food safety, medicine, and energy production as well as many used as models in biology, those most abundant in world ecosystems, and representatives in every branch of the insect phylogeny in an effort to better understand arthropod evolution and phylogeny. Because computational genome analysis remains an imperfect art, each of these new genomes sequenced will require visualization and curation.
Apollo is an instantaneous, collaborative, genome annotation editor, and the new JavaScript based version allows researchers real-time interactivity, breaking down large amounts of data into manageable portions to mobilize groups of researchers with shared interests. The i5K is a broad and inclusive effort that seeks to involve scientists from around the world in their genome curation process and Apollo is serving as the platform to empower this community. Here we offer details about this collaboration.
The document discusses knowledge management of experimental data through the ISA ecosystem. It describes the ISA-tab format and software suite that allows annotation and curation of experimental metadata. As a use case, it analyzes a dataset on metabolite profiling from a study of fatty acid amide hydrolase knockout mice. The ISA tools can represent investigations and assays, convert data to standardized formats, and facilitate sharing and analysis of experimental data.
From peer-reviewed to peer-reproduced: a role for research objects in scholar...Alejandra Gonzalez-Beltran
The document discusses how research objects and computational workflows can help capture experimental processes and reproduce findings in life sciences research. It describes a computational experiment evaluating three genome assembly algorithms on bacterial, insect, and human genomes. Key steps included identifying resources, designing the experimental workflow, running the experiment in Galaxy, and publishing results as nanopublications aggregated in a research object to enable verification and reuse. The goal is to improve reproducibility by making experimental descriptions and reviews more structured and transparent.
The document describes the Cassava Genome Hub, which provides big genomic data management and analysis resources for cassava. It discusses how the hub handles big data through its architecture and tools. The hub stores terabytes of cassava genomic, transcriptomic and other omics data. It provides tools like JBrowse, SNiPlay, GIGWA and Galaxy to enable visualization, exploration and analysis of the large datasets.
The document discusses the ISA infrastructure, which provides a framework for tracking metadata in bioscience experiments from data collection to sharing in linked data clouds. The infrastructure includes a metadata syntax, open source software tools, and a user community. It allows annotation of experimental metadata, materials, and processes using ontologies to make semantics explicit and enable integration and knowledge discovery. The infrastructure is growing with over 30 public and private resources adopting it to facilitate standards-compliant sharing of investigations across life science domains.
The document discusses the ISA infrastructure, which provides a standardized format (ISA-TAB) for experimental metadata and data exchange. It can be used across various domains like toxicology, systems biology, and nanotechnology. The Risa R package integrates experimental metadata with analysis and allows updating metadata. Nature Scientific Data is a new publication for describing valuable datasets. The ISA framework has been adopted by over 30 public and private resources and is growing in use for facilitating reuse of investigations in various life science domains. Toxicity examples include EU projects on predictive toxicology and a rat study of drug candidates. Questions can be directed to the ISA tools group.
Bio-GraphIIn is a graph-based, integrative and semantically enabled repository for life science experimental data. It addresses the need for a system that supports retrospective data submissions, handles heterogeneous experimental data, and overcomes the fragmentation of existing data formats and databases. Bio-GraphIIn uses the Investigation/Study/Assay (ISA) framework and ontologies to semantically represent experimental metadata and enable rich queries across studies, with the goal of facilitating integrative data analysis.
Apollo and i5K: Collaborative Curation and Interactive Analysis of GenomesMonica Munoz-Torres
Precise elucidation of the many different biological features encoded in a genome requires a careful curation process that involves reviewing all available evidence to allow researchers to resolve discrepancies and validate automated gene models, protein alignments, and other biological elements. Genome annotation is an inherently collaborative task; researchers only rarely work in isolation, turning to colleagues for second opinions and insights from those with expertise in particular domains and gene families.
The i5k initiative seeks to sequence the genomes of 5,000 insect and related arthropod species. The selected species are known to be important to worldwide agriculture, food safety, medicine, and energy production as well as many used as models in biology, those most abundant in world ecosystems, and representatives in every branch of the insect phylogeny in an effort to better understand arthropod evolution and phylogeny. Because computational genome analysis remains an imperfect art, each of these new genomes sequenced will require visualization and curation.
Apollo is an instantaneous, collaborative, genome annotation editor, and the new JavaScript based version allows researchers real-time interactivity, breaking down large amounts of data into manageable portions to mobilize groups of researchers with shared interests. The i5K is a broad and inclusive effort that seeks to involve scientists from around the world in their genome curation process and Apollo is serving as the platform to empower this community. Here we offer details about this collaboration.
The document discusses knowledge management of experimental data through the ISA ecosystem. It describes the ISA-tab format and software suite that allows annotation and curation of experimental metadata. As a use case, it analyzes a dataset on metabolite profiling from a study of fatty acid amide hydrolase knockout mice. The ISA tools can represent investigations and assays, convert data to standardized formats, and facilitate sharing and analysis of experimental data.
Current advances to bridge the usability-expressivity gap in biomedical seman...Maulik Kamdar
I presented a talk at the Protege research meeting on the 'Current advances to bridge the usability-expressivity gap in biomedical semantic search (and visualizing linked data)' https://sites.google.com/site/protegeresearchmeeting/meeting-materials/current-advances-to-bridge-the-usability-expressivity-gap-in-semantic-search
Presentation pathway extensions using knowledge integration and network approaches presented at the Systems Biology Institute in Luxembourg on November 28 2012.
Opening up pharmacological space, the OPEN PHACTs apiChris Evelo
The document provides an overview of the Open PHACTS project, which aims to create an open pharmacological space (OPS) through semantic integration of public drug discovery resources. It discusses the challenges of accessing and integrating scientific data across organizational boundaries. Open PHACTS builds a service layer and applications to allow standardized access and analysis of data from various public sources. It is a collaborative project involving academic and industry partners seeking to make pre-competitive drug discovery data more accessible and useful through semantic integration and common standards.
Keynote presented at the Phenotype Foundation first annual meeting.
Describes data sharing, data annotation and the needs for further tool and ontology and ontology mapping development.
Amsterdam, January 18, 2016
Data analysis & integration challenges in genomicsmikaelhuss
Presentation given at the Genomics Today and Tomorrow event in Uppsala, Sweden, 19 March 2015. (http://connectuppsala.se/events/genomics-today-and-tomorrow/) Topics include APIs, "querying by data set", machine learning.
This document summarizes the BioAssay Research Database (BARD), a public database developed to provide access to bioassay data from the NIH Molecular Libraries Program (MLP). BARD has curated and migrated data from over 600 MLP projects, standardizing the metadata using a controlled vocabulary. This allows for systematic cross-assay analysis. BARD supports data depositors, data miners accessing and querying the database, and software developers building new tools using the BARD application programming interface.
WikiPathways: how open source and open data can make omics technology more us...Chris Evelo
This document discusses WikiPathways, an open source pathway database. It began in 2007 with the goals of having an online platform by March 2007 and gaining a first unknown user by January 2008, both of which were successes. WikiPathways has grown significantly since, now containing over 400 human pathways and 6,200 unique human genes. It receives over 1 million pageviews annually. The document advocates for opening up data and code to make omics technology more useful. It describes WikiPathways' various features including its BioPAX format, REST services, and integration with Cytoscape. It also discusses professionalizing open source and collaborating with existing communities and tools rather than trying to change the world alone.
The National Center for Biotechnology Information (NCBI) Pathogen Analysis Pi...ExternalEvents
The document describes the NCBI Pathogen Analysis Pipeline which supports real-time sequencing of foodborne pathogens. The pipeline performs k-mer analysis, genome assembly, annotation, placement, clustering, SNP analysis, and tree construction on sequencing data submitted to NCBI. It provides automated bacterial assembly and a SNP analysis pipeline for clustering isolates and identifying outbreaks. The pipeline is demonstrated on examples of outbreaks linked to stone fruit and chicken kiev. NCBI aims to build a database of sequenced antibiotic resistant isolates with standardized metadata and maintain reference databases of antibiotic resistance genes.
Using ontologies to do integrative systems biologyChris Evelo
The document discusses using ontologies to integrate systems biology data. It describes typical steps in systems biology studies such as finding studies, processing data, integrating data, and combining data from multiple sources. Ontologies can help link information from different analysis techniques and combine data from many studies by capturing study metadata. The document advocates using standards like ISA-TAB and MAGE-TAB to capture study data and proposes using a generic study capture framework with modular components to integrate different types of 'omics data. Ontologies are needed for collaboration and to provide controlled vocabularies for annotation.
A keynote given on experiences in curating workflows and web services.
3rd International Digital Curation Conference: "Curating our Digital Scientific Heritage: a Global Collaborative Challenge"
11-13 December 2007
Renaissance Hotel
Washington DC, USA
Using biological network approaches for dynamic extension of micronutrient re...Chris Evelo
This document discusses using biological network approaches to dynamically extend pathways with regulatory information such as microRNAs (miRNAs). It describes tools like PathVisio that can integrate gene expression, proteomics and metabolomics data onto pathways to identify significantly changed processes. WikiPathways is introduced as a public pathway resource that can be contributed to and curated by researchers. The document outlines approaches for visualizing regulatory interactions on pathways using plugins, exploring pathway interactions through network analysis, and integrating other data types such as SNPs, fluxes and gene annotations to build a more comprehensive understanding of biological systems.
Towards a Simple, Standards-Compliant, and Generic Phylogenetic DatabaseHilmar Lapp
Jane's lab uses a freely available open source software package called PhyloDOM to create a phylogenetic database of their molecular data resolving the phylogeny of endangered frog species, allowing their results to be easily shared and integrated by other researchers through web interfaces, data aggregators, and visualization tools that take advantage of standardized metadata.
This document provides an overview of TOPSAN (The Open Protein Structure Annotation Network). TOPSAN is a database that provides extensive annotations for nearly 10,000 protein structures solved by structural genomics centers. It combines automated and human-edited annotations and characterizes single proteins, protein families, and entire genomes. The document explains that TOPSAN uses semantic web principles to connect curated and automatic annotations to other analysis tools and databases, allowing the TOPSAN content to be searched, exported, and analyzed as part of the larger web of biological data.
The document summarizes several projects undertaken by the HPC Lab, including developing software and algorithms for graph analysis on emerging platforms (CASS-MT), genome assembly (GALAXY), and RNA structure prediction (GTFold). It also mentions projects involving graph benchmarks (Graph500), dynamic graph packages for Intel platforms (STING), and phylogenetics research on the IBM Blue Waters supercomputer (PetaApps).
The document provides information about bioinformatics and BLAST (Basic Local Alignment Search Tool). It defines bioinformatics as the application of information technology to molecular biology. It describes what BLAST is and how it works to compare biological sequences and identify similar sequences in databases. It also lists different BLAST programs and databases that can be used depending on the type of sequence being searched.
Newton was obsessed with mathematics and computation. He was driven to solve complex problems and calculate things like logarithms to 50 places for pleasure. He developed his three laws of motion, including that every object will remain at rest or in uniform motion unless acted upon by an external force, and that for every action there is an equal and opposite reaction. Newton's laws revolutionized the understanding of motion and established classical mechanics.
The document outlines the structure and content of an Agile Mind curriculum. It is divided into units that progress from functional thinking and graphing relationships between variables, to algebra, exponents, and quadratics. Some of the key points made are:
- Units 1-3 focus on functional thinking and representing relationships between variables x and y.
- Units 4-9 cover slope, intercepts, and linear models, including moving between table, graph, and equation representations.
- Units 10-14 teach solving for unknowns using algebra and systems of equations.
- Later units cover exponents, laws of exponents, quadratics, factoring, and finding roots.
The document discusses challenges encountered
VectorBase Population Data Das TutorialYoosook Lee
The document provides a tutorial on how to attach a DAS server to the Ensembl Genome Browser to view external data sources. The steps include selecting a species on the Ensembl homepage, choosing the "Add custom data" option on the location view page, selecting "Attach DAS" from the menu, entering the DAS server address, choosing the desired data sources, and making queries using the start, end, and chromosome text boxes to view information from the external sources.
The document discusses key concepts related to earthquakes including:
1. Faults are cracks in the Earth's crust where rock rubs against rock, such as the San Andreas Fault.
2. Seismographs are instruments that record seismic waves, which are vibrations caused by earthquakes or other movements within the Earth.
3. The Richter Scale is used to measure the amount of energy released by an earthquake, with higher magnitudes causing greater damage to structures and buildings.
This document provides instructions for accessing genetic data on the Anopheles gambiae PopGenBase database through various query and visualization tools. It summarizes how to query the database to retrieve genotype data in different formats, view chromosome images, use Formatomatic to convert file formats, and download Google Earth layers to visualize genotype frequencies and environmental data on maps.
There are several ways that mountains can form, including through fault-block formation, folding, uplifting, and volcanic activity. Fault-block mountains are formed when huge tilted rock blocks are separated by faults. Folded mountains are created by compression forces that fold rock layers. Uplifted mountains occur when forces push up the earth's crust, allowing sedimentary rock to erode and leaving igneous or metamorphic rock exposed. Volcanic mountains are cone-shaped features composed of layered lava.
Current advances to bridge the usability-expressivity gap in biomedical seman...Maulik Kamdar
I presented a talk at the Protege research meeting on the 'Current advances to bridge the usability-expressivity gap in biomedical semantic search (and visualizing linked data)' https://sites.google.com/site/protegeresearchmeeting/meeting-materials/current-advances-to-bridge-the-usability-expressivity-gap-in-semantic-search
Presentation pathway extensions using knowledge integration and network approaches presented at the Systems Biology Institute in Luxembourg on November 28 2012.
Opening up pharmacological space, the OPEN PHACTs apiChris Evelo
The document provides an overview of the Open PHACTS project, which aims to create an open pharmacological space (OPS) through semantic integration of public drug discovery resources. It discusses the challenges of accessing and integrating scientific data across organizational boundaries. Open PHACTS builds a service layer and applications to allow standardized access and analysis of data from various public sources. It is a collaborative project involving academic and industry partners seeking to make pre-competitive drug discovery data more accessible and useful through semantic integration and common standards.
Keynote presented at the Phenotype Foundation first annual meeting.
Describes data sharing, data annotation and the needs for further tool and ontology and ontology mapping development.
Amsterdam, January 18, 2016
Data analysis & integration challenges in genomicsmikaelhuss
Presentation given at the Genomics Today and Tomorrow event in Uppsala, Sweden, 19 March 2015. (http://connectuppsala.se/events/genomics-today-and-tomorrow/) Topics include APIs, "querying by data set", machine learning.
This document summarizes the BioAssay Research Database (BARD), a public database developed to provide access to bioassay data from the NIH Molecular Libraries Program (MLP). BARD has curated and migrated data from over 600 MLP projects, standardizing the metadata using a controlled vocabulary. This allows for systematic cross-assay analysis. BARD supports data depositors, data miners accessing and querying the database, and software developers building new tools using the BARD application programming interface.
WikiPathways: how open source and open data can make omics technology more us...Chris Evelo
This document discusses WikiPathways, an open source pathway database. It began in 2007 with the goals of having an online platform by March 2007 and gaining a first unknown user by January 2008, both of which were successes. WikiPathways has grown significantly since, now containing over 400 human pathways and 6,200 unique human genes. It receives over 1 million pageviews annually. The document advocates for opening up data and code to make omics technology more useful. It describes WikiPathways' various features including its BioPAX format, REST services, and integration with Cytoscape. It also discusses professionalizing open source and collaborating with existing communities and tools rather than trying to change the world alone.
The National Center for Biotechnology Information (NCBI) Pathogen Analysis Pi...ExternalEvents
The document describes the NCBI Pathogen Analysis Pipeline which supports real-time sequencing of foodborne pathogens. The pipeline performs k-mer analysis, genome assembly, annotation, placement, clustering, SNP analysis, and tree construction on sequencing data submitted to NCBI. It provides automated bacterial assembly and a SNP analysis pipeline for clustering isolates and identifying outbreaks. The pipeline is demonstrated on examples of outbreaks linked to stone fruit and chicken kiev. NCBI aims to build a database of sequenced antibiotic resistant isolates with standardized metadata and maintain reference databases of antibiotic resistance genes.
Using ontologies to do integrative systems biologyChris Evelo
The document discusses using ontologies to integrate systems biology data. It describes typical steps in systems biology studies such as finding studies, processing data, integrating data, and combining data from multiple sources. Ontologies can help link information from different analysis techniques and combine data from many studies by capturing study metadata. The document advocates using standards like ISA-TAB and MAGE-TAB to capture study data and proposes using a generic study capture framework with modular components to integrate different types of 'omics data. Ontologies are needed for collaboration and to provide controlled vocabularies for annotation.
A keynote given on experiences in curating workflows and web services.
3rd International Digital Curation Conference: "Curating our Digital Scientific Heritage: a Global Collaborative Challenge"
11-13 December 2007
Renaissance Hotel
Washington DC, USA
Using biological network approaches for dynamic extension of micronutrient re...Chris Evelo
This document discusses using biological network approaches to dynamically extend pathways with regulatory information such as microRNAs (miRNAs). It describes tools like PathVisio that can integrate gene expression, proteomics and metabolomics data onto pathways to identify significantly changed processes. WikiPathways is introduced as a public pathway resource that can be contributed to and curated by researchers. The document outlines approaches for visualizing regulatory interactions on pathways using plugins, exploring pathway interactions through network analysis, and integrating other data types such as SNPs, fluxes and gene annotations to build a more comprehensive understanding of biological systems.
Towards a Simple, Standards-Compliant, and Generic Phylogenetic DatabaseHilmar Lapp
Jane's lab uses a freely available open source software package called PhyloDOM to create a phylogenetic database of their molecular data resolving the phylogeny of endangered frog species, allowing their results to be easily shared and integrated by other researchers through web interfaces, data aggregators, and visualization tools that take advantage of standardized metadata.
This document provides an overview of TOPSAN (The Open Protein Structure Annotation Network). TOPSAN is a database that provides extensive annotations for nearly 10,000 protein structures solved by structural genomics centers. It combines automated and human-edited annotations and characterizes single proteins, protein families, and entire genomes. The document explains that TOPSAN uses semantic web principles to connect curated and automatic annotations to other analysis tools and databases, allowing the TOPSAN content to be searched, exported, and analyzed as part of the larger web of biological data.
The document summarizes several projects undertaken by the HPC Lab, including developing software and algorithms for graph analysis on emerging platforms (CASS-MT), genome assembly (GALAXY), and RNA structure prediction (GTFold). It also mentions projects involving graph benchmarks (Graph500), dynamic graph packages for Intel platforms (STING), and phylogenetics research on the IBM Blue Waters supercomputer (PetaApps).
The document provides information about bioinformatics and BLAST (Basic Local Alignment Search Tool). It defines bioinformatics as the application of information technology to molecular biology. It describes what BLAST is and how it works to compare biological sequences and identify similar sequences in databases. It also lists different BLAST programs and databases that can be used depending on the type of sequence being searched.
Newton was obsessed with mathematics and computation. He was driven to solve complex problems and calculate things like logarithms to 50 places for pleasure. He developed his three laws of motion, including that every object will remain at rest or in uniform motion unless acted upon by an external force, and that for every action there is an equal and opposite reaction. Newton's laws revolutionized the understanding of motion and established classical mechanics.
The document outlines the structure and content of an Agile Mind curriculum. It is divided into units that progress from functional thinking and graphing relationships between variables, to algebra, exponents, and quadratics. Some of the key points made are:
- Units 1-3 focus on functional thinking and representing relationships between variables x and y.
- Units 4-9 cover slope, intercepts, and linear models, including moving between table, graph, and equation representations.
- Units 10-14 teach solving for unknowns using algebra and systems of equations.
- Later units cover exponents, laws of exponents, quadratics, factoring, and finding roots.
The document discusses challenges encountered
VectorBase Population Data Das TutorialYoosook Lee
The document provides a tutorial on how to attach a DAS server to the Ensembl Genome Browser to view external data sources. The steps include selecting a species on the Ensembl homepage, choosing the "Add custom data" option on the location view page, selecting "Attach DAS" from the menu, entering the DAS server address, choosing the desired data sources, and making queries using the start, end, and chromosome text boxes to view information from the external sources.
The document discusses key concepts related to earthquakes including:
1. Faults are cracks in the Earth's crust where rock rubs against rock, such as the San Andreas Fault.
2. Seismographs are instruments that record seismic waves, which are vibrations caused by earthquakes or other movements within the Earth.
3. The Richter Scale is used to measure the amount of energy released by an earthquake, with higher magnitudes causing greater damage to structures and buildings.
This document provides instructions for accessing genetic data on the Anopheles gambiae PopGenBase database through various query and visualization tools. It summarizes how to query the database to retrieve genotype data in different formats, view chromosome images, use Formatomatic to convert file formats, and download Google Earth layers to visualize genotype frequencies and environmental data on maps.
There are several ways that mountains can form, including through fault-block formation, folding, uplifting, and volcanic activity. Fault-block mountains are formed when huge tilted rock blocks are separated by faults. Folded mountains are created by compression forces that fold rock layers. Uplifted mountains occur when forces push up the earth's crust, allowing sedimentary rock to erode and leaving igneous or metamorphic rock exposed. Volcanic mountains are cone-shaped features composed of layered lava.
The document discusses various landforms and geological features found on Mars, and compares them to similar features on Earth. It provides evidence that liquid water once existed on the surface of Mars, including images of Martian pack ice and measurements showing the Martian poles melted 20 million years ago. It also notes that erosion by wind is actively shaping the surface of Mars today, as seen in dune formations with multiple layers of smaller sand bedforms.
Population Data Workbench - Meteorology Data QueryYoosook Lee
This document provides instructions for querying annual and daily precipitation data from the Population Data Workbench meteorology site. It explains how to select a margin distance, submit a CSV file of site coordinates, view output of the nearest weather station's annual data and link to its daily data from the given year. The daily data is displayed in a pop-up window. The document notes that citing the meteorology data source is required for publications using the data.
New digital media dominated the 2008 presidential election. The document contrasts the "old political media" of mass media like newspapers and rallies with the "new political media" of the Internet, email, blogging, and social media. The new media reaches more diverse groups, engages younger voters, and allows for two-way communication. However, it can also be overwhelming and leave out non-tech savvy groups. The future of politics may include more voter involvement, youth who are more knowledgeable about politics, and information that spreads more quickly through new digital channels.
This document provides instructions for using the Controlled Vocabulary (CV) Search tool on the population data Workbench to find standardized terms for populating data input files. It describes searching the Mosquito Insecticide Resistance Ontology (MIRO) to find the term ID for the larvae collection method of using a dipper. It notes that the geographic (Gaz) ontology can also be searched to optionally fill in a collection site, though many African sites may not be listed.
1) Galileo conducted experiments dropping objects of different masses from towers to demonstrate that heavier and lighter objects accelerate at the same rate and hit the ground simultaneously, contradicting Aristotle.
2) Galileo also pioneered the experimental scientific method, emphasizing experimental evidence over philosophical assertions, and communicated his findings to a wide audience in Italian rather than Latin.
3) As a result of publishing findings supporting Copernicus' sun-centered model of the solar system, Galileo was tried by the Inquisition, found guilty of heresy, and spent the rest of his life under house arrest.
The document discusses the differences between volcanoes, tectonics, erosion, and landforms on Mars compared to Earth, noting that Mars experiences much slower rates of change than Earth due to not having active plate tectonics. Evidence is presented that Mars once had liquid water on its surface and a molten core, but that it has changed more slowly over time than Earth without plate tectonics driving processes like volcanism and mountain building.
Population Data Workbench Landcover Data QueryYoosook Lee
This document provides instructions for querying land cover data from the Population Data Workbench for collection sites in Mali. Users can click the "Get Land Cover Data" link to access the password protected land cover query page. The query page allows users to submit a CSV file with site coordinates and select a maximum distance to find the nearest collection site match. The output will include the latitude and longitude of the nearest site, percentages of different land cover types, and the GCP classification.
Studies Of Molecular Mechanisms Of Action Of Tnf Antagonists In Rheumatoid Ar...guest11f502
This document summarizes a thesis investigating the molecular mechanisms of action of TNF antagonists in rheumatoid arthritis (RA). RA is a common chronic inflammatory disease characterized by progressive joint destruction. New TNF antagonist drugs have been introduced to treat RA, but their exact mechanisms are still poorly understood. The thesis aims to study the effects of TNF antagonists on synovial inflammation and bone destruction. It finds that TNF antagonists induce apoptosis of macrophages but not lymphocytes in RA joints. They also decrease serum levels of matrix metalloproteinases (MMPs) implicated in joint destruction. Additionally, treatment increases synovial expression of osteoprotegerin (OPG), which regulates bone remodeling. The thesis provides new insights into how TNF antagon
The document summarizes key highlights from the book "Positioning for Professionals" by Tim Williams. It discusses that growth alone is not a strategy for companies and that size is no longer a competitive advantage. It also discusses how company brands become homogenized by trying to appeal to everyone rather than focusing on differentiation. Executing a positioning strategy is important, and professional firms should focus on creating value for clients rather than just billing hours. Overall the book advocates that professional firms should develop focused differentiation strategies rather than pursuing unfocused growth.
Precise elucidation of the many different biological features encoded in any genome requires careful examination and review by researchers, who gather and evaluate the available evidence to corroborate and modify gene predictions and other biological elements. This curation process allows them to resolve discrepancies and validate automated gene model hypotheses and alignments. This approach is the well-established practice for well-known genomes such as human, mouse, zebrafish, Drosophila, et cetera. Desktop Apollo was originally developed to meet these needs.
The cost of sequencing a genome has been dramatically reduced by several orders of magnitude in the last decade, and the natural consequence is that more and more researchers are sequencing more and more new genomes, both within populations and across species. Because individual researchers can now readily sequence many genomes of interest, the need for a universally accessible genomic curation tool logically follows. Each new exome or genome sequenced requires visualization and curation to obtain biologically accurate genomic features sets, even for limited set of genes, because computational genome analysis remains an imperfect art. Additionally, unlike earlier genome projects, which had the advantage of more highly polished genomes, recent projects usually have lower coverage. Therefore researchers now face additional work correcting for more frequent assembly errors and annotating genes split across multiple contigs.
Genome annotation is an inherently collaborative task; researchers only very rarely work in isolation, turning to colleagues for second opinions and insights from those with with expertise in particular domains and gene families. The new JavaScript based Apollo, allows researchers real-time interactivity, breaking down large amounts of data into manageable portions to mobilize groups of researchers with shared interests. We are also focused on training the next generation of researchers by reaching out to educators to make these tools available as part of curricula via workshops and webinars, and through widely applied systems such as iPlant and DNA Subway. Here we offer details of our progress.
Presentation at Genome Informatics, Session (3) on Databases, Data Mining, Visualization, Ontologies and Curation.
Authors: Monica C Munoz-Torres, Suzanna E. Lewis, Ian Holmes, Colin Diesh, Deepak Unni, Christine Elsik.
Building bioinformatics resources for the global communityExternalEvents
1. The document evaluates different methods for inferring relationships between Salmonella samples based on whole genome sequencing data from large databases. It compares k-mer based methods and site-based methods using 18,997 Salmonella isolates from public databases.
2. Site-based methods like NUCmer and MLST produced more accurate results, but require more computing resources when dealing with large databases. K-mer based methods are faster but more sensitive to assembly and contamination issues.
3. While k-mer methods may be useful for initial filtering, site-based methods are superior for accuracy, though challenges remain in applying them to databases containing tens of thousands of samples. Quality control and computing resources are important considerations.
This document discusses several network and pathway visualization tools, including VIS, Google Fusion Tables, GenMAPP, and Cytoscape. VIS is a tool for producing simple network maps using stock icons for entities like people and companies. Google Fusion Tables offers basic network mapping and filtering. GenMAPP visualizes and analyzes genomic data in the context of pathways, connecting gene-level data to biological processes. Cytoscape is an open source software platform for visualizing molecular interaction networks and integrating gene expression data.
This proposal requests $1.45 million from the NSF to develop a Curator Assistant to help communities annotate the rapidly increasing number of sequenced genomes. As sequencing costs decrease from $1 million to $10,000 per genome, the bottleneck has shifted to functional annotation, which currently relies on human curators. The proposed software will use natural language processing to extract gene functions from literature and suggest annotations to assist community curators with databases for non-model organisms lacking professional curation resources. It will initially focus on arthropod genomes through collaboration with the Arthropod Base Consortium.
This talk explores how principles derived from experimental design practice, data and computational models can greatly enhance data quality, data generation, data reporting, data publication and data review.
Abstract-GasCan is a specialized and unique database of gastric cancer protein encoding genes expressed in human and mouse. The features that make GasCan unique are availability of gene information, availability of primers for each gene, with their features and conditions given that are useful in PCR amplification, especially in cloning experiments and to make it more unique built in programmed sequence analysis facility is provided that analyze gene sequences in database itself, resulting sequence analysis information can be valuable for researchers in different experiments. Furthermore, DNA sequence analysis tool is provided that can be access freely. GasCan will expand in future to other species, genes and cover more useful information of other species. Flexible database design, expandability and easy access of information to all of the users are the main features of the database. The Database is publicly available at http://www.gastric-cancer.site40.net.
GASCAN: A Novel Database for Gastric Cancer Genes and Primersijdmtaiir
GasCan is a specialized and unique database of
gastric cancer protein encoding genes expressed in human and
mouse. The features that make GasCan unique are availability
of gene information, availability of primers for each gene, with
their features and conditions given that are useful in PCR
amplification, especially in cloning experiments and to make it
more unique built in programmed sequence analysis facility is
provided that analyze gene sequences in database itself,
resulting sequence analysis information can be valuable for
researchers in different experiments. Furthermore, DNA
sequence analysis tool is provided that can be access freely.
GasCan will expand in future to other species, genes and cover
more useful information of other species. Flexible database
design, expandability and easy access of information to all of
the users are the main features of the database. The Database is
publicly available at http://www.gastric-cancer.site40.net.
A consistent and efficient graphical User Interface Design and Querying Organ...CSCJournals
We propose a software layer called GUEDOS-DB upon Object-Relational Database Management System ORDMS. In this work we apply it in Molecular Biology, more precisely Organelle complete genome. We aim to offer biologists the possibility to access in a unified way information spread among heterogeneous genome databanks. In this paper, the goal is firstly, to provide a visual schema graph through a number of illustrative examples. The adopted, human-computer interaction technique in this visual designing and querying makes very easy for biologists to formulate database queries compared with linear textual query representation.
The document discusses using WEKA and BioWeka to analyze DNA sequences and perform pattern matching. It summarizes how Eclat filtering and EM clustering are applied to a dataset containing DNA sequences from human and chimpanzee chromosomes. Eclat is used to extract codon frequencies as features, while EM clustering assigns sequences to clusters based on the mixture model with the highest posterior probability. The analysis aims to identify biologically relevant groups of genes and determine chromosomal similarities between humans and chimpanzees.
Araport is an online resource for Arabidopsis and plant research that integrates various types of data from different sources. It provides genome annotation for Arabidopsis that has been validated and updated using RNA-seq data. Data is stored and can be accessed through the ThaleMine data warehouse. Araport also features a JBrowse genome viewer and Science Apps that retrieve real-time data through web services. It is an open source project that welcomes community contributions and holds workshops to support developers.
This document describes the Solanaceae Genomics Resource project at Michigan State University. The project aims to integrate genomic and transcriptomic data from major Solanaceae crops like potato, tomato, tobacco, and pepper. Researchers are identifying orthologs and paralogs within the Solanaceae and comparing sequences to model plants. The goal is to provide a robust comparative genomics resource to enable broad data mining and analysis of Solanaceae sequences. All project data and analysis results are made freely available on their website.
There are many characteristics of biological data. All these characteristics make the management of biological information a particularly challenging problem. Here mainly we will focus on characteristics of biological information and multidisciplinary field called bioinformatics. Bioinformatics, now a days has emerged with graduate degree programs in several universities.
Data mining involves using machine learning and statistical methods to discover patterns in large datasets and is useful in bioinformatics for analyzing biological data. Bioinformatics analyzes data from sequences, molecules, gene expressions, and pathways. Data mining can help understand these rapidly growing biological datasets. Common data mining tools in bioinformatics include BLAST for sequence comparisons, Entrez for integrated database searching, and ORF Finder for identifying open reading frames. Data mining approaches are well-suited to the enormous volumes of data in bioinformatics databases.
Articulo escrito por Hector Sánchez Villeda.
Hector Sánchez ha desarrollado tecnologías de la información para las ciencias biológicas por más de 20 años y actualmente es Fundador y Director de Desarrollo de IT de G2 Apps una empresa de innovación tecnológica basada en Querétaro, México.
G2 APPS se dedica a la implementación de LIMS (Laboratory Information Management Systems) utilizando un enfoque multidisciplinario que desde luego incluye un alto nivel de conocimientos en las ciencias de la vida para llevar a cabo una facil implementación.
Artículo escrito por el MC Hector Sánchez VIlleda acerca de su participación en el desarrollo, diseño e implementacion de un Sistema de Administración de la Información para Laboratorios en la Universidad de Missouri.
Hector Sánchez Villeda ha trabajado por más de 25 años en el desarrollo de TI para las ciencias biologicas y es fundador y Director de Desarrollo de IT en G2 Apps, una compañia de inovación tecnológica basada en la ciudad de Querétaro, Mexico
The document discusses the Karyotype DAS client, which provides an interactive web client for visualizing and comparing genome annotations from different DAS sources. It summarizes the Distributed Annotation System (DAS) protocol, which allows for distributed genome annotations across multiple independent databases viewed together. The Karyotype DAS client is presented as a solution for exploring genome information and annotations in their full genomic context. Researchers can integrate their own annotations and analysis results by making them accessible via the virtual DAS registry.
This document discusses the challenges of analyzing large datasets from metagenomic shotgun sequencing experiments. It notes that while sequencing costs have decreased significantly, the computational analysis of the massive amounts of data generated still poses major challenges. It introduces the concept of "digital normalization" as an approach to reduce dataset sizes while retaining most of the biological information by removing redundant reads. The document advocates for making analysis tools and datasets openly accessible to help advance understanding of microbial communities from metagenomics studies.
This presentation is a thorough guide to the use of Web Apollo, with details on User Navigation, Functionality, and the thought process behind manual annotation.
During this workshop, participants:
- Learn to identify homologs of known genes of interest in your newly sequenced genome.
- Become familiar with the environment and functionality of the Web Apollo genome annotation editing tool.
- Learn how to corroborate or modify automatically annotated gene models using all available evidence in Web Apollo.
- Understand the process of curation in the context of genome annotation.
This document provides an overview of bioinformatics and discusses key concepts like:
- Bioinformatics combines biology, computer science, and information technology to analyze large amounts of biological data.
- High-throughput DNA sequencing has generated vast genomic data that requires bioinformatics tools and databases accessible via the internet to analyze and share.
- Popular sequence alignment tools like BLAST, FASTA, and ClustalW are used to search databases and compare sequences, helping researchers analyze genes and genomes.
Closing the Gap in Time: From Raw Data to Real ScienceJustin Johnson
This document discusses science as a service (SaaS) and next-generation sequencing (NGS) data analysis. It summarizes challenges with exponential growth of NGS data, including data management, storage, analysis and sharing. It introduces Edge Bio's approach of distributing computational problems across cloud and HPC resources to avoid bottlenecks. Edge Bio provides full-service NGS analysis pipelines leveraging both commercial and open-source tools.
Similar to VectorBase - PopGenBase Meeting at ASTMH08 (20)
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
2. VectorBase - PopGenBase Group Meeting
About Ag PopGenBase
There are presently no open databases that combine population, ecological and genomics information for the
vector community. Besides enabling new understanding, a population biology resource would help to preserve
data that has already been acquired, facilitate collaboration among laboratories and permit better, more integrat-
ed studies of vector problems.
In October 2008 VectorBase initiated a plan for the development of a web-based data repository for information
about the population genomics of invertebrate vectors of human disease. This endeavor is being pursued under
the direction of Dr. Gregory C. Lanzaro, University of California-Davis and Dr. Charles E. Taylor, University
of California-Los Angeles. Development of this new feature of VectorBase will begin with Ag PopGenBase a
population genomics database for Anopheles gambiae with plans to develop similar resources for all of the taxa
currently represented in VectorBase.
Whereas current research aimed at describing the genetics of natural vector populations involve determin-
ing genotypes at tens of loci, it is clear that in the near future such studies will involve tens, even hundreds of
thousands of loci. This dramatic change will be achieved through the inclusion of genomics information into the
design of population level studies. The maintenance and analysis of such large volumes of data are challenging.
Furthermore, the integration of information across individual studies will be daunting.
We foresee the following outcomes resulting from this project:
1. Provide encouragement to the vector population genetics community to publicly store raw data and make
it accessible to other investigators, much in the manner of many of the public data resources of NCBI and
EMBL-EBI.
2. Providing and encouraging the use of such a resource, will bring some much-needed standardization of ge-
netic markers and inter-study compatibility to the field of vector population genetics.
3. Will directly link markers used in population studies with emerging knowledge of the genome, generating
far more powerful population data sets, because selection of genetic loci can be based on the best informa-
tion available on the function of those loci and genome-level constraints on their variation.
4. Encourage studies in other areas of vector biology, like ecology, behavior, and epidemiology, to incorporate
genetic information, in order to identify genes affecting complex phenotypes.
We have recently completed Stage 1 of Ag PopGenBase (Ag PGB). This first stage includes data for 5,870 indi-
vidual An. gambiae s.l. collected from 54 sites in Mali and for 3,245 individuals from 51 sites in Cameroon. The
data includes species identification (An. gambiae and An. arabiensis), molecular form (M vs. S), chromosomal
form (Forest, Bamako, Mopti and Savanna) and karyotype (for paracentric inversions on the right arm of chro-
mosome 2 and the 2La inversion on the left arm of chromosome 2). A Google Maps API provides visualization
of these data on maps.
In Stage 2 of Ag PGB members of the community may request database service to setup password protected
files to allow each individual researcher to use a pilot Ag PGB for the management and analysis of data for their
own ongoing projects. Feedback will be solicited so the particular interests and needs of the community can be
considered for inclusion in future versions of Ag PGB, and to assist us in expanding the population database to
other taxa.
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3. VectorBase - PopGenBase Group Meeting
1 Current PopGenBase
Access GoogleMaps API
Although we are currently working on establishing an Geographic distribution of molecular forms and chro-
Ag PopGenBase link to vectorbase.org, it can now be mosomal forms can be viewed using the GoogleMaps
accessed at the UCD site: https://grassi2.ucdavis.edu. interface. Population genetic data is retrieved directly
from the database. This view is ideal for checking
Genetic Data progress of projects in real time.
Ag PGB provides Anopheles gambiae population ge-
GoogleEarth
netic data from Mali and Cameroon. Molecular forms,
karyotype (chromosome inversion genotype for 2La, We provide not just pie charts, pre-generated from the
2Rj, b, c, d, and u), and chromosome images for indi- database, of various genetic markers for each collec-
vidual mosquitoes are available from this site. These tion site but also provide an IGBP landcover layer so
data originated from the labs of Gregory Lanzaro and that the assocations of genetic markers and with envi-
Charles Taylor. We will begin solicitations of data ronmental features can be visualized.
from other labs soon.
2
4. VectorBase - PopGenBase Group Meeting
Query page : selection panels (top) and output in various format (bottom). Chromosome image links
are provided in HTML output format for karyotype verification.
3
5. VectorBase - PopGenBase Group Meeting
GoogleMaps API (top) and
GoogleEarth (right) screen-
shots. The database tool
makes visualization of popu-
lation data in a geographic
context easy. GoogleMaps
API and GoogleEarth are
becoming more powerful for
mapping various types of
data.
4
6. VectorBase - PopGenBase Group Meeting
2 Pilot Workbench Project
Goal Contributing data
We would like to recruit beta users for our pilot work- If you have population genetic data that you would
bench project. Research groups may request database like to make available to the vector population biol-
service for their own ongoing projects. These data will ogy community please consider providing it to us for
be password protected and accessable only to those PopGenBase. Any data dealing with genetic polymor-
who are permitted by the principal investigator of the phism in natural vector populations may be appropri-
project. Feedback will be solicited so that particular ate for PopGenBase.
interests and needs of the community will be consid-
Contact
ered for inclusion in the next stage of PopGenBase.
Program
Workplan Gregory Lanzaro (PI): gclanzaro@ucdavis.edu
Although the current PopGenBase is designed specifi- Charles Taylor (PI): taylor@biology.ucla.edu
cally for An. gambiae s.s., we would like to provide
assistance to those organizing population data for Technical Inquery
other vector species. Based on sample data provided Yoosook Lee : yoslee@ucdavis.edu
by researchers, PopGenBase programmers will make
adjustments in default settings or write new tools to
handle new data.
Our goal is to create a database where resarchers can
populate and update data for themselves. It is, how-
ever, likely that the data from different labs will have
different formats and organization schemes. Also
some laboratories may not have convinient access to
personnel who can write script to conver data into an
appropriate format. Ag PopGenBase curators will be
available to assist you to populate your database dur-
ing the next 6 months development cycle. We intend to
develop a robust data submission script by the end of
this project (Jun. 29th, 2009). PopGenBase workbench
beta users will be expected to provide feedback to as-
sist us in developing a data management tool with the
broadest utility.
Data query, retrieval and visualization tools will be
provided by PopGenBase. We would like to hear from
you for any other computational needs that you would
like to see included in PopGenBase. This project was
launched for the community of vector biologists,
ecologists and epidemiologists. Through this interac-
tion, we would like to provide relavent service to these
underserved communities.
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