The iPlant Tree of Life Project and ToolkitNaim Matasci
The iPlant Tree of Life Project and Toolkit: Building a Cyberinfrastructure for Plant Science Research
Given at Evolution 2011
An overview of the iPlant and iPToL project
INTRODUCTION OF BIOINFORMATICS
HISTORY
WHAT IS DATABASE
NEED FOR DATABASE
TYPES OF DATABASE
PRIMARY DATABASE
NUCLEIC ACID SEQUENCE DATABASE
GENE BANK
INTRODUCTION
GENE BANK SUBMISSION TOOL
GENE BANK SUBMISSION TYPE
HOW TO RETRIEVE DATA FROM GENEBANK
APPLICATION
CONCLUSION
REFERENCE
A report presented in my BNF 216 (Database Design and Modeling for Bioinformatics) class regarding principles and tips to follow in designing biological databases.
Practical interoperability across semantic stores of data for ecological, tax...Cyndy Parr
Presented at the Biodiversity Information Standards (Taxonomic Databases Working Group) 2013 meeting in Florence, Italy on 31 October 2013. Essentially, an introduction to aspects of the back end of the new trait repository of Encyclopedia of Life.
The iPlant Tree of Life Project and ToolkitNaim Matasci
The iPlant Tree of Life Project and Toolkit: Building a Cyberinfrastructure for Plant Science Research
Given at Evolution 2011
An overview of the iPlant and iPToL project
INTRODUCTION OF BIOINFORMATICS
HISTORY
WHAT IS DATABASE
NEED FOR DATABASE
TYPES OF DATABASE
PRIMARY DATABASE
NUCLEIC ACID SEQUENCE DATABASE
GENE BANK
INTRODUCTION
GENE BANK SUBMISSION TOOL
GENE BANK SUBMISSION TYPE
HOW TO RETRIEVE DATA FROM GENEBANK
APPLICATION
CONCLUSION
REFERENCE
A report presented in my BNF 216 (Database Design and Modeling for Bioinformatics) class regarding principles and tips to follow in designing biological databases.
Practical interoperability across semantic stores of data for ecological, tax...Cyndy Parr
Presented at the Biodiversity Information Standards (Taxonomic Databases Working Group) 2013 meeting in Florence, Italy on 31 October 2013. Essentially, an introduction to aspects of the back end of the new trait repository of Encyclopedia of Life.
The National Center for Biotechnology Information (NCBI) Pathogen Analysis Pi...ExternalEvents
http://www.fao.org/about/meetings/wgs-on-food-safety-management/en/
Real time sequencing of food borne pathogens: Pathogen Analysis Pipeline at The National Center for Biotechnology Information (NCBI). Presentation from the Technical Meeting on the impact of Whole Genome Sequencing (WGS) on food safety management -23-25 May 2016, Rome, Italy.
Metagenomic Data Provenance and Management using the ISA infrastructure --- o...Alejandra Gonzalez-Beltran
Metagenomic Data Provenance and Management using the ISA infrastructure - overview, implementation patterns & software tools
Slides presented at EBI Metagenomics Bioinformatics course: http://www.ebi.ac.uk/training/course/metagenomics2014
The Center for Expanded Data Annotation and Retrieval (CEDAR) aims to revolutionize the way that metadata describing scientific experiments are authored. The software we have developedthe CEDAR Workbenchis a suite of Web-based tools and REST APIs that allows users to construct metadata templates, to fill in templates to generate high-quality metadata, and to share and manage these resources. The CEDAR Workbench provides a versatile, REST-based environment for authoring metadata that are enriched with terms from ontologies. The metadata are available as JSON, JSON-LD, or RDF for easy integration in scientific applications and reusability on the Web. Users can leverage our APIs for validating and submitting metadata to external repositories. The CEDAR Workbench is freely available and open-source.
student project to employ text mining techniques for chance discovery in a scientific or medical context. Two case studies are offered, poisonous & venomous animals, and dental & arterial plaques
The metadata about scientific experiments are crucial for finding, reproducing, and reusing the data that the metadata describe. We present a study of the quality of the metadata stored in BioSample—a repository of metadata about samples used in biomedical experiments managed by the U.S. National Center for Biomedical Technology Information (NCBI). We tested whether 6.6 million BioSample metadata records are populated with values that fulfill the stated requirements for such values. Our study revealed multiple anomalies in the analyzed metadata. The BioSample metadata field names and their values are not standardized or controlled—15% of the metadata fields use field names not specified in the BioSample data dictionary. Only 9 out of 452 BioSample-specified fields ordinarily require ontology terms as values, and the quality of these controlled fields is better than that of uncontrolled ones, as even simple binary or numeric fields are often populated with inadequate values of different data types (e.g., only 27% of Boolean values are valid). Overall, the metadata in BioSample reveal that there is a lack of principled mechanisms to enforce and validate metadata requirements. The aberrancies in the metadata are likely to impede search and secondary use of the associated datasets.
The Center for Expanded Data Annotation and Retrieval (CEDAR) has developed a suite of tools and services that allow scientists to create and publish metadata describing scientific experiments. Using these tools and services—referred to collectively as the CEDAR Workbench—scientists can collaboratively author metadata and submit them to public repositories. A key focus of our software is semantically enriching metadata with ontology terms. The system combines emerging technologies, such as JSON-LD and graph databases, with modern software development technologies, such as microservices and container platforms. The result is a suite of user-friendly, Web-based tools and REST APIs that provide a versatile end-to-end solution to the problems of metadata authoring and management. This talk presents the architecture of the CEDAR Workbench and focuses on the technology choices made to construct an easily usable, open system that allows users to create and publish semantically enriched metadata in standard Web formats.
Model organisms such as budding yeast provide a common platform to interrogate and understand cellular and physiological processes. Knowledge about model organisms, whether generated during the course of scientific investigation, or extracted from published articles, are made available by model organism databases (MODs) such as the Saccharomyces Genome Database (SGD) for powerful, data-driven bioinformatic analyses. Integrative platforms such as InterMine offer a standard platform for MOD data exploration and data mining. Yet, today’s bioinformatic analyses also requires access to a significantly broader set of structured biomedical data, such as what can be found in the emerging network of Linked Open Data (LOD). If MOD data could be provisioned as FAIR (Findable, Accessible, Interoperable, and Reusable), then scientists could leverage a greater amount of interoperable data in knowledge discovery.
The goal of this proposal is to increase the utility of MOD data by implementing standards-compliant data access interfaces that interoperate with Linked Data. We will focus our efforts on developing interfaces for data access, data retrieval, and query answering for SGD. Our software will publish InterMine data as LOD that are semantically annotated with ontologies and be retrieved using standardized formats (e.g. JSON-LD, Turtle). We will facilitate the exploration of MOD data for hypothesis testing, by implementing efficient query answering using Linked Data Fragments, and by developing a set of graphical user interfaces to search for data of interest, explore connections, and answer questions that leverage the wider LOD network. Finally, we will develop a locally and cloud-deployable image to enable the rapid deployment of the proposed infrastructure. Our efforts to increase interoperability and ease of deployment for biomedical data repositories will increase research productivity and reduce costs associated with data integration and warehouse maintenance.
an explanation of the barcoding pipeline, what data objects need to be tracked through the pipeline, and the possible entry and exit points to the pipeline
The National Center for Biotechnology Information (NCBI) Pathogen Analysis Pi...ExternalEvents
http://www.fao.org/about/meetings/wgs-on-food-safety-management/en/
Real time sequencing of food borne pathogens: Pathogen Analysis Pipeline at The National Center for Biotechnology Information (NCBI). Presentation from the Technical Meeting on the impact of Whole Genome Sequencing (WGS) on food safety management -23-25 May 2016, Rome, Italy.
Metagenomic Data Provenance and Management using the ISA infrastructure --- o...Alejandra Gonzalez-Beltran
Metagenomic Data Provenance and Management using the ISA infrastructure - overview, implementation patterns & software tools
Slides presented at EBI Metagenomics Bioinformatics course: http://www.ebi.ac.uk/training/course/metagenomics2014
The Center for Expanded Data Annotation and Retrieval (CEDAR) aims to revolutionize the way that metadata describing scientific experiments are authored. The software we have developedthe CEDAR Workbenchis a suite of Web-based tools and REST APIs that allows users to construct metadata templates, to fill in templates to generate high-quality metadata, and to share and manage these resources. The CEDAR Workbench provides a versatile, REST-based environment for authoring metadata that are enriched with terms from ontologies. The metadata are available as JSON, JSON-LD, or RDF for easy integration in scientific applications and reusability on the Web. Users can leverage our APIs for validating and submitting metadata to external repositories. The CEDAR Workbench is freely available and open-source.
student project to employ text mining techniques for chance discovery in a scientific or medical context. Two case studies are offered, poisonous & venomous animals, and dental & arterial plaques
The metadata about scientific experiments are crucial for finding, reproducing, and reusing the data that the metadata describe. We present a study of the quality of the metadata stored in BioSample—a repository of metadata about samples used in biomedical experiments managed by the U.S. National Center for Biomedical Technology Information (NCBI). We tested whether 6.6 million BioSample metadata records are populated with values that fulfill the stated requirements for such values. Our study revealed multiple anomalies in the analyzed metadata. The BioSample metadata field names and their values are not standardized or controlled—15% of the metadata fields use field names not specified in the BioSample data dictionary. Only 9 out of 452 BioSample-specified fields ordinarily require ontology terms as values, and the quality of these controlled fields is better than that of uncontrolled ones, as even simple binary or numeric fields are often populated with inadequate values of different data types (e.g., only 27% of Boolean values are valid). Overall, the metadata in BioSample reveal that there is a lack of principled mechanisms to enforce and validate metadata requirements. The aberrancies in the metadata are likely to impede search and secondary use of the associated datasets.
The Center for Expanded Data Annotation and Retrieval (CEDAR) has developed a suite of tools and services that allow scientists to create and publish metadata describing scientific experiments. Using these tools and services—referred to collectively as the CEDAR Workbench—scientists can collaboratively author metadata and submit them to public repositories. A key focus of our software is semantically enriching metadata with ontology terms. The system combines emerging technologies, such as JSON-LD and graph databases, with modern software development technologies, such as microservices and container platforms. The result is a suite of user-friendly, Web-based tools and REST APIs that provide a versatile end-to-end solution to the problems of metadata authoring and management. This talk presents the architecture of the CEDAR Workbench and focuses on the technology choices made to construct an easily usable, open system that allows users to create and publish semantically enriched metadata in standard Web formats.
Model organisms such as budding yeast provide a common platform to interrogate and understand cellular and physiological processes. Knowledge about model organisms, whether generated during the course of scientific investigation, or extracted from published articles, are made available by model organism databases (MODs) such as the Saccharomyces Genome Database (SGD) for powerful, data-driven bioinformatic analyses. Integrative platforms such as InterMine offer a standard platform for MOD data exploration and data mining. Yet, today’s bioinformatic analyses also requires access to a significantly broader set of structured biomedical data, such as what can be found in the emerging network of Linked Open Data (LOD). If MOD data could be provisioned as FAIR (Findable, Accessible, Interoperable, and Reusable), then scientists could leverage a greater amount of interoperable data in knowledge discovery.
The goal of this proposal is to increase the utility of MOD data by implementing standards-compliant data access interfaces that interoperate with Linked Data. We will focus our efforts on developing interfaces for data access, data retrieval, and query answering for SGD. Our software will publish InterMine data as LOD that are semantically annotated with ontologies and be retrieved using standardized formats (e.g. JSON-LD, Turtle). We will facilitate the exploration of MOD data for hypothesis testing, by implementing efficient query answering using Linked Data Fragments, and by developing a set of graphical user interfaces to search for data of interest, explore connections, and answer questions that leverage the wider LOD network. Finally, we will develop a locally and cloud-deployable image to enable the rapid deployment of the proposed infrastructure. Our efforts to increase interoperability and ease of deployment for biomedical data repositories will increase research productivity and reduce costs associated with data integration and warehouse maintenance.
an explanation of the barcoding pipeline, what data objects need to be tracked through the pipeline, and the possible entry and exit points to the pipeline
The Human Cell Atlas Data Coordination PlatformLaura Clarke
This presentation gives a brief summary of the Human Cell Atlas project and describes the data coordination platform which is being built to support it.
Texas sla presentation finding sci tech grey literature informationMatthew Von Hendy
Presentation on discovering and finding scientific and technical grey literature resources made at the 2014 Texas SLA chapter meeting in November 2014. Topics covered include: search tools, institutional repositories, data and data sets, subject specific databases,
The swings and roundabouts of a decade of fun and games with Research Objects Carole Goble
Research Objects and their instantiation as RO-Crate: motivation, explanation, examples, history and lessons, and opportunities for scholarly communications, delivered virtually to 17th Italian Research Conference on Digital Libraries
Scott Edmunds talk in the "Policies and Standards for Reproducible Research" session on Revolutionizing Data Dissemination: GigaScience, at the Genomic Standards Consortium meeting at Shenzhen. 6th March 2012
Catherine Canevet – Ondex: Data integration and visualisation
Ondex (http://ondex.org/) is a data integration platform which enables data from diverse biological data sets to be linked, integrated and visualised through graph analysis techniques. This talk describes its functionalities and a few application cases.
Scott Edmunds talk on GigaScience Big-Data, Data Citation and future data handling at the International Conference of Genomics on the 15th November 2011.
Kelly technologies is the best data science training institute in hyderabad.We provide our trainings by industrial real time experts so that our students know about real time market technology.
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.
Great Science, Technology, Engineering and Medicine Resources Web Search Univ...Matthew Von Hendy
Slide deck presentation from a session at WebSearch University 2014 on Great Science, Technology, Engineering and Medicine resources. Emphasis is on primarily open access resources.
Similar to Dr David Schindel and Mike Trizna - BOL Data Portal (20)
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Dr David Schindel and Mike Trizna - BOL Data Portal
1. The Barcode of Life
Data Portal
(http://bol.uvm.edu)
Dr. David E Schindel, Executive Secretary
Michael Trizna, Database Specialist
Consortium for the Barcode of Life (CBOL)
Smithsonian Institution
Washington, DC
www.barcodeoflife.org;
SchindelD@si.edu and TriznaM@si.edu
2. Contents of Presentation
Crowd-sourced open source software
How does Data Portal complement BOLD
and GenBank?
Data Portal capabilities
Case Study: Smithsonian frozen bird
tissue project
3. An Experiment in Museum Tissue
Mining and Fast Data Release
Tissue sampling winter/spring
Sequencing completed in September
Sequence quality control in October
Taxonomic checking in early November
– Obvious errors removed
– Minor discrepancies remain
Data released for Adelaide Conference
– Crowd-sourced annotation by community
– Will data be mis-used?
4. Unique Data Portal Capabilities
Creating customized datasets from public
and/or your private data
Online library of standard datasets
Support sharing within project teams using
Connect IDs, easy link to Working Groups
Running different identification analyses
based on different methodologies:
– Standard sequence input using FASTA format
– Use standard or customized datasets
8. Existing Data Analysis Packages
LIST of packages
– BLOG
– BRONX
– Kernel
– CAOS
– USEARCH
– BLAST
Output of identification routines as
probabilities of assignment
9. Data Analysis Methods Session
New packages presented Friday
afternoon:
– Damon Little: Automatic Plants Barcode
pipeline (from raw traces to trimmed/edited
sequences)
– Ka Hou Chu: Composite Vector Method
(profile trees for faster alignment and tree-
based analysis)
– Alain Franc: Matching Next Generation results
to Sanger-based reference records
14. The USNM Bird Project
USNM Division of Birds frozen tissue
collection:
– 21,104 specimens, 2512 species
Which new ones ones to sample/barcode?
Public records for birds
– All public bird COI records: 10,967
– All BARCODE records in GenBank: 8,419
– BARCODE with taxonomic names: 7,965
– BARCODE, name and 2 traces: 2,388
15. Moving Data Among
BOLD, GenBank, Data Portal
USNM Excel BOLD
Spreadsheet Split into projects that
(KE-Emu Source) consist of 2-4 plates
Local database that Data Portal
holds all fields from Aggregator
the original database
spreadsheet
16. Creating a ‘Pick List’
Spreadsheet of tissue samples compared
with:
– ITIS taxonomy
– Clemens species list in BOLD
– Counts of GenBank and/or public BOLD
records
– Geographic informattion
Screenshot of USNM list side-by-side with
BOLD records
19. USNM Bird Dataset
3150 tissues sampled
168 failed sequences
94 problematic sequences
166 clustered badly
2761 ‘BARCODE-ready’ samples
1,147 ‘first-BARCODE’ species
91% increase over 1,259 barcoded species
(3,892 listed in BOLD includes BINs, others)
20. Two problematic clades, USNM data
Flycatchers: Family Tyrannidae
– Sublegatus arenarum, S. modestus, S.
obscurior, S. sp.
– Conopias parvus, C. albovittatus
– Myiarchus ferox, M. swainsoni, M. sp.
Hummingbirds: Family Trochilidae
– Phaethornis longuemareus
Inconsistencies within USNM dataset
Incompatibilities with public, other data
23. What testing dataset to use?
ID trees and analytical routines could use:
– All public bird COI records: 10,967
– All BARCODE records in GenBank: 8,419
– BARCODE with taxonomic names: 7,965
– BARCODE, name and 2 traces: 2,388
Which ones have reliable taxonomic IDs?
24. Preparing a Data Release Paper
Summary statistics from Data Portal
Figures from BOLD