The document describes genomic analysis of Clostridium difficile (C. difficile) isolates to understand the emergence of pathogenicity. 17 C. difficile isolates were sequenced and assembled genomes were obtained. Comparative genomics identified genetic changes like horizontal gene transfer and recombination associated with antibiotic resistance and virulence traits. Machine learning will be used to analyze genomic features and predict the origin and evolution of pathogenic isolates.
The document discusses challenges in analyzing non-model organism transcriptomics data due to lack of reference genomes and presents two solutions: digital normalization to reduce massive amounts of sequencing data while retaining important information, and partitioning transcripts into "transcript families" to collapse isoforms without a reference genome. It then provides examples of applying these approaches to lamprey and tunicate transcriptome data.
This document provides an overview of metagenome assembly from a lecture given by C. Titus Brown. It begins with introductions and definitions related to bioinformatics and metagenomics. It then discusses challenges with annotating individual short reads from metagenomes and why assembly is preferable. An example study assembling 454 shotgun reads from soil metagenomes to analyze the impact of land management on microbial communities is described. Finally, challenges with assembling human-associated and high-complexity soil metagenomes are discussed.
This document provides an overview of the Battle Creek Metagenomics Pipeline for assembling large, complex metagenomes. The pipeline first uses digital normalization techniques like Diginorm to equalize coverage and remove redundant reads. It then partitions the reads into "groups" to separate genomes. Smaller partitions are assembled, while larger ones are further processed. The result is contigs that can be annotated and analyzed. Key aspects of the pipeline are the use of digital normalization and partitioning methods to improve scaling and allow assembly of very large metagenomic datasets.
This document discusses concepts and tools for exploring large sequencing datasets. It begins by providing background on building tools to analyze large sequencing datasets and enabling scientists to quickly generate hypotheses from data. The document then outlines goals of enabling hypothesis-driven biology through better hypothesis generation and refinement, and making sequence analysis less valuable and putting the author out of a job. It presents a narrative arc that discusses reconstructing community genomes from shotgun metagenomics, underlying enabling approaches and tools, and a plan for positive global influence through technology and training.
Advancements in Wireless Technology for Single Unit Electrophysiology RecordingInsideScientific
LIVE WEBINAR: Tuesday, December 12, 2017
Sponsor: https://neuralynx.com/
During this webinar, Casey Stengel provides an introductory overview of Cube2: an all-in-one, wireless headstage and data acquisition system for neuronal research in freely moving, untethered subjects. He explains how Cube2 has been purpose built to enable the study of research animals in social environments by allowing multiple transmitters in the same area, pulling data to local drives. Following, Dr. John A. Wolf provides two case studies highlighting his work with Cube2 technology focused on long term chronic affects of traumatic brain injury, including the development of post traumatic epilepsy. Next, Dr Kari Hoffman presents research using the Cube wireless systems for wireless multi-site recordings in freely-behaving macaques. She discusses experimental design, common challenges and shares preliminary data demonstrating the capabilities of Cube2 and future possibilities for studies involving non-human primates. The webinar closes with a Q&A session held with the presentation group.
This was a talk given on 2014-09-17 for the Genome Center’s Bioinformatics Core as part of a 1 week workshop. It concerns the Assemblathon projects as well as other aspects relating to genome assembly.
A version of this talk is also available on Slideshare with embedded notes.
Note, this is an evolving talk. There are older and newer versions of the talk also available on slideshare.
The document describes genomic analysis of Clostridium difficile (C. difficile) isolates to understand the emergence of pathogenicity. 17 C. difficile isolates were sequenced and assembled genomes were obtained. Comparative genomics identified genetic changes like horizontal gene transfer and recombination associated with antibiotic resistance and virulence traits. Machine learning will be used to analyze genomic features and predict the origin and evolution of pathogenic isolates.
The document discusses challenges in analyzing non-model organism transcriptomics data due to lack of reference genomes and presents two solutions: digital normalization to reduce massive amounts of sequencing data while retaining important information, and partitioning transcripts into "transcript families" to collapse isoforms without a reference genome. It then provides examples of applying these approaches to lamprey and tunicate transcriptome data.
This document provides an overview of metagenome assembly from a lecture given by C. Titus Brown. It begins with introductions and definitions related to bioinformatics and metagenomics. It then discusses challenges with annotating individual short reads from metagenomes and why assembly is preferable. An example study assembling 454 shotgun reads from soil metagenomes to analyze the impact of land management on microbial communities is described. Finally, challenges with assembling human-associated and high-complexity soil metagenomes are discussed.
This document provides an overview of the Battle Creek Metagenomics Pipeline for assembling large, complex metagenomes. The pipeline first uses digital normalization techniques like Diginorm to equalize coverage and remove redundant reads. It then partitions the reads into "groups" to separate genomes. Smaller partitions are assembled, while larger ones are further processed. The result is contigs that can be annotated and analyzed. Key aspects of the pipeline are the use of digital normalization and partitioning methods to improve scaling and allow assembly of very large metagenomic datasets.
This document discusses concepts and tools for exploring large sequencing datasets. It begins by providing background on building tools to analyze large sequencing datasets and enabling scientists to quickly generate hypotheses from data. The document then outlines goals of enabling hypothesis-driven biology through better hypothesis generation and refinement, and making sequence analysis less valuable and putting the author out of a job. It presents a narrative arc that discusses reconstructing community genomes from shotgun metagenomics, underlying enabling approaches and tools, and a plan for positive global influence through technology and training.
Advancements in Wireless Technology for Single Unit Electrophysiology RecordingInsideScientific
LIVE WEBINAR: Tuesday, December 12, 2017
Sponsor: https://neuralynx.com/
During this webinar, Casey Stengel provides an introductory overview of Cube2: an all-in-one, wireless headstage and data acquisition system for neuronal research in freely moving, untethered subjects. He explains how Cube2 has been purpose built to enable the study of research animals in social environments by allowing multiple transmitters in the same area, pulling data to local drives. Following, Dr. John A. Wolf provides two case studies highlighting his work with Cube2 technology focused on long term chronic affects of traumatic brain injury, including the development of post traumatic epilepsy. Next, Dr Kari Hoffman presents research using the Cube wireless systems for wireless multi-site recordings in freely-behaving macaques. She discusses experimental design, common challenges and shares preliminary data demonstrating the capabilities of Cube2 and future possibilities for studies involving non-human primates. The webinar closes with a Q&A session held with the presentation group.
This was a talk given on 2014-09-17 for the Genome Center’s Bioinformatics Core as part of a 1 week workshop. It concerns the Assemblathon projects as well as other aspects relating to genome assembly.
A version of this talk is also available on Slideshare with embedded notes.
Note, this is an evolving talk. There are older and newer versions of the talk also available on slideshare.
This was a talk given on 2014-06-19 for the Genome Center’s Bioinformatics Core as part of a 1 week workshop on using Galaxy. It concerns the Assemblathon projects as well as other aspects relating to genome assembly.
A version of this talk is also available on Slideshare with embedded notes.
Note, this is an evolving talk. There are older and newer versions of the talk also available on slideshare.
Wireless Recording and Stimulation Technologies for in vivo Electrophysiology...InsideScientific
During this webinar, sponsored by Triangle BioSystems International (www.trianglebiosystems.com), scientists present experimental methods and scientific findings from applications of in vivo electrophysiology in freely moving rodents using new head-mounted, wireless sensors.
Specifically, Dr. Melissa Caras and Dr. Dan Sanes, from the Centre for Neural Science at New York University, present a case study on auditory cortex recordings collected from freely moving gerbils during learning and task performance. They will share methodology, resulting discoveries, and discuss the importance of within-animal, real-time comparisons of neural and behavioral measures. Following, Bradly Barth presents experimentation conducted in Dr. Xiling Shen’s laboratory at Duke University, where they have achieved successful stimulation of the sacral nerve in conscious, freely-moving, untethered mice using a hermetic, fully-implantable, wireless nerve stimulator from TBSI.
Seminario en CIFASIS, Rosario, Argentina - Seminar in CIFASIS, Rosario, Argen...Alejandra Gonzalez-Beltran
This document discusses data sharing and interoperability. It introduces BioSharing, a registry of life science data standards, policies and databases. It also describes the ISA infrastructure, a metadata framework for tracking experimental investigations. A case study is presented on reproducing results from the SOAPdenovo2 genome assembly algorithm using ISA-Tab, Galaxy workflows and other methods. The importance of data publication and enabling reproducible research is emphasized.
Wireless Recording Technologies for in vivo Electrophysiology in Conscious, F...InsideScientific
During this webinar, sponsored by Triangle BioSystems International (TBSI), scientists present experimental methods and scientific findings from applications of in vivo electrophysiology in conscious non-human primates using new head-mounted, wireless sensors.
Specifically, members ofThe Hatsopoulos Laboratory at the University of Chicago present research using a 64 channel wireless headstage on marmosets. The objective of this research is to investigate sensorimotor encoding across marmoset’s behavioral repertoire. The group discusses the platform they have developed for voluntary behavioural training and neural recording in a home cage environment, and share preliminary data they have obtained.
Following representatives from Dr. Ben Hayden’s lab, at the University of Minnesota, present a case study in which they have successfully implemented the 128-channel headstage in macaques while performing a center-out joystick task in a primate chair. They share methodology, experimental design, and discuss the promise their results show for future studies using untethered wireless recordings in freely moving and behaving animals.
This document discusses the progress toward achieving the $1000 whole human genome and the challenges still remaining. It provides an overview of sequencing technologies like the HiSeq X Ten that can sequence a genome for around $1000 but requires large upfront investment. While costs are decreasing and technologies improving, lack of standards still pose issues for clinical adoption. However, trends toward more output, lower costs, and easier use point to genomics gradually becoming established in healthcare.
Digital normalization is a new technique for pre-filtering sequencing reads that helps address computational challenges in assembling genomes, transcriptomes, and metagenomes from non-model organisms. It works by discarding redundant reads to smooth coverage and eliminate the majority of errors. Three case studies showed its effectiveness: 1) Assembling the parasitic nematode H. contortus genome, 2) Assembling the lamprey transcriptome without a reference, and 3) Assembling two large soil metagenomes. Digital normalization enabled efficient assemblies and new biological insights in these difficult "weird" samples.
This document provides an overview of visualizing omics data and analyzing 16S rRNA gene sequencing data. It begins with an agenda that includes visualizing omics data, reintroducing 16S analysis, and hands-on 16S analysis in Rstudio. It then discusses topics such as why the 16S gene is commonly used, typical 16S analysis workflows involving sampling, extraction, sequencing, and bioinformatics, and resources for learning about 16S analysis.
This document provides an overview and discussion of next-generation sequencing technologies by C. Titus Brown. It begins by outlining some basics of shotgun sequencing and how increasing density leads to squared increases in the number of sequences obtained. It then discusses current costs for Illumina sequencing and the amount of data needed for different applications. Some challenges and problems with sequencing data are also reviewed, such as systematic bias, genome assembly and scaffolding difficulties, reference gene models, and mRNA isoform construction. Emerging long-read sequencing technologies are also briefly discussed.
This document discusses complex metagenome assembly and career thoughts in bioinformatics. It begins with the speaker's research background and then discusses two main topics: 1) challenges with metagenome assembly due to low coverage regions and strain variation in sequencing data, and approaches using assembly graphs, and 2) the need for more "bioinformaticians in the middle" who are comfortable with both biology and computational analysis to integrate large-scale data into their research. The speaker provides advice for embracing computation and seeking formal training opportunities to develop skills at this intersection of disciplines.
Employing Electrophysiology and Optogenetics to Measure and Manipulate Neuron...InsideScientific
In this webinar, Dr. Tahl Holtzman, Founder of Cambridge NeuroTech, describes a new generation of silicon neural probes offering dozens of recording channels in precisely spaced, high-resolution arrays, built using sophisticated fabrication techniques borrowed from the electronics industry, along with simple-to-follow surgical implantation schemes for both acute and chronic animals.
Watch to learn how to take advantage of ultra-small chronic drives to open up scalability to span multiple brain areas in parallel and to achieve excellent chronic stability. In addition, Dr. Holtzman demonstrates integration of novel probes and drives offered by Cambridge NeuroTech with optogenetics that thereby enable your experiments to have the combined capability for measurement AND manipulation of neuronal activity in both acute and freely behaving settings.
This webinar will benefit both established electrophysiologists who wish to increase their data yield and experimental reach as well as those investigators whose expertise is centred in and around the animal behavioural, neuropharmacological, and optogenetics arenas. Viewers will learn what silicon neural probes are and how to use them in both acute and chronic experiments, best-practice techniques for surgical implantation in species ranging from mice to monkeys and how to integrate fibre optic cannulas with your probes to enable simultaneous opto-electrophysiology.
What if your ecological hacking could focus on the fun stuff like developing new algorithms or UIs, and you didn’t have to worry about things like authentication, data storage, permissions, and access to high-performance computing? iPlant cyberinfrastructure and APIs can help you there! Maybe you’ve never hacked, but you are code curious? Maybe you just need an efficient way to get work done? iPlant offers preinstalled software, GUIs, and cloud-compute gateway services you can start using today. Once you’re hooked, we provide the tools and services to take your skills to the next level. Want to know more? Visit iplantcollaborative.org.
This document summarizes a presentation given by Luke Hickey of Pacific Biosciences on human genome sequencing using PacBio systems. It discusses PacBio sequencing technology developments, sequencing and assembly of the NA12878 genome, and the role of the NIST Genome in a Bottle (GIAB) reference materials. Specifically, it notes that PacBio sequenced the GIAB Ashkenazim trio genomes to high coverage and made the data publicly available. The sequencing and assembly of these genomes helps validate and improve PacBio sequencing technologies and supports the development and release of the trio as new NIST reference materials.
1. The document discusses best practices for scientific software development including writing code for people to read, automating repetitive tasks, using version control, and avoiding redundancy.
2. Specific approaches mentioned are planning for mistakes, automated testing, continuous integration, and using style guides to ensure code is readable and consistently formatted.
3. Knitting allows analyzing and reporting in a single file by embedding R code chunks in markdown documents.
The document discusses the challenges and opportunities that will arise from the exponential growth of biological data in the coming years. It outlines four key areas: 1) Research approaches will need to effectively analyze infinite amounts of data. 2) Software and decentralized infrastructure will be needed to process the data. 3) Open science and reproducible research practices are important for data-driven biology. 4) Training the next generation of biologists in data analysis skills will be a major challenge. The document advocates for open source tools, reproducible research methods, and expanded training programs to help biology take advantage of the coming data deluge.
This document summarizes the work of Hans Jansen and Christiaan Henkel with long read nanopore sequencing. They have sequenced several genomes including carp, eel, king cobra, and Agrobacterium using MinION. Their longest reads were 120 kbp and 93.5 kbp. They also established the MinION Access Program to improve genomes by resolving repeats. As part of this, they formed the MinION Analysis and Reference Consortium to standardize protocols and understand variability between labs. Their work with the E. coli genome demonstrated sources of variation in read counts, lengths, and alignments between labs.
The objective of the experiment is for students to become familiar with databases that can be used to investigate gene sequences and to construct cladograms that provide evidence for evolutionary relatedness among species.
In this investigation, students will:
1. Create cladograms that depict evolutionary relationships among organisms.
2. Analyze biological data with online bioinformatics tools.
3. Connect and apply concepts pertaining to genetics and evolution.
1. The document discusses best practices for scientific software development, including writing code for people rather than computers, automating repetitive tasks, using version control, and conducting code reviews.
2. Specific approaches and tools recommended are planning for mistakes, automated testing, continuous integration, and using a coding style guide. R and Ruby style guides are provided as examples.
3. The benefits of following such practices are improving productivity, reducing errors, making code easier to read and maintain, and allowing scientists to focus on scientific questions rather than software issues. Reproducible and sustainable software is the overall goal.
This document discusses high-throughput DNA sequencing technologies and their application to genome assembly projects. It provides a brief history of DNA sequencing, from early chemical and chain termination methods to current massively parallel sequencing technologies. It also describes several long-read sequencing technologies, including Pacific Biosciences SMRT sequencing and Oxford Nanopore sequencing. Examples are given of genome projects utilizing these technologies along with short-read sequencing data.
This document discusses challenges and opportunities in applying mRNA sequencing (mRNAseq) to non-model organisms. It describes using digital normalization as a way to cope with having a massive amount of lamprey mRNAseq data but an incomplete genomic reference. Digital normalization enables assembly and analysis that would otherwise not be possible. The document also discusses applying digital normalization to ascidian mRNAseq data, where it results in substantial time savings and comparable transcriptomes to those assembled without normalization. Finally, it discusses next steps for lamprey transcriptome analysis including enabling various evolutionary and biological studies.
This document discusses challenges and opportunities in applying mRNA sequencing (mRNAseq) to non-model organisms. It describes using digital normalization to cope with large amounts of lamprey mRNAseq data that would otherwise be too computationally intensive to assemble. Digital normalization was applied successfully to Molgula ascidian mRNAseq data, enabling transcriptome analysis. The lamprey transcriptome was assembled from over 5 billion reads from 50 tissues, producing over 600,000 transcripts. Next steps include addressing contamination issues and using the more complete transcriptome to enable various evolutionary and biological studies of lamprey. The document advocates making protocols and data openly available to help characterize genes in non-model organisms.
Role of bioinformatics in life sciences researchAnshika Bansal
1. The document discusses bioinformatics and summarizes some of its key applications and tools. It describes how bioinformatics merges biology and computer science to solve biological problems by applying computational tools to molecular data.
2. It provides examples of common bioinformatics tasks like retrieving sequences from databases, comparing sequences, analyzing genes and proteins, and viewing 3D structures.
3. The document lists several popular databases for nucleotide sequences, protein sequences, literature, and other biological data. It also introduces common bioinformatics tools for tasks like sequence alignment, translation, and structure analysis.
This was a talk given on 2014-06-19 for the Genome Center’s Bioinformatics Core as part of a 1 week workshop on using Galaxy. It concerns the Assemblathon projects as well as other aspects relating to genome assembly.
A version of this talk is also available on Slideshare with embedded notes.
Note, this is an evolving talk. There are older and newer versions of the talk also available on slideshare.
Wireless Recording and Stimulation Technologies for in vivo Electrophysiology...InsideScientific
During this webinar, sponsored by Triangle BioSystems International (www.trianglebiosystems.com), scientists present experimental methods and scientific findings from applications of in vivo electrophysiology in freely moving rodents using new head-mounted, wireless sensors.
Specifically, Dr. Melissa Caras and Dr. Dan Sanes, from the Centre for Neural Science at New York University, present a case study on auditory cortex recordings collected from freely moving gerbils during learning and task performance. They will share methodology, resulting discoveries, and discuss the importance of within-animal, real-time comparisons of neural and behavioral measures. Following, Bradly Barth presents experimentation conducted in Dr. Xiling Shen’s laboratory at Duke University, where they have achieved successful stimulation of the sacral nerve in conscious, freely-moving, untethered mice using a hermetic, fully-implantable, wireless nerve stimulator from TBSI.
Seminario en CIFASIS, Rosario, Argentina - Seminar in CIFASIS, Rosario, Argen...Alejandra Gonzalez-Beltran
This document discusses data sharing and interoperability. It introduces BioSharing, a registry of life science data standards, policies and databases. It also describes the ISA infrastructure, a metadata framework for tracking experimental investigations. A case study is presented on reproducing results from the SOAPdenovo2 genome assembly algorithm using ISA-Tab, Galaxy workflows and other methods. The importance of data publication and enabling reproducible research is emphasized.
Wireless Recording Technologies for in vivo Electrophysiology in Conscious, F...InsideScientific
During this webinar, sponsored by Triangle BioSystems International (TBSI), scientists present experimental methods and scientific findings from applications of in vivo electrophysiology in conscious non-human primates using new head-mounted, wireless sensors.
Specifically, members ofThe Hatsopoulos Laboratory at the University of Chicago present research using a 64 channel wireless headstage on marmosets. The objective of this research is to investigate sensorimotor encoding across marmoset’s behavioral repertoire. The group discusses the platform they have developed for voluntary behavioural training and neural recording in a home cage environment, and share preliminary data they have obtained.
Following representatives from Dr. Ben Hayden’s lab, at the University of Minnesota, present a case study in which they have successfully implemented the 128-channel headstage in macaques while performing a center-out joystick task in a primate chair. They share methodology, experimental design, and discuss the promise their results show for future studies using untethered wireless recordings in freely moving and behaving animals.
This document discusses the progress toward achieving the $1000 whole human genome and the challenges still remaining. It provides an overview of sequencing technologies like the HiSeq X Ten that can sequence a genome for around $1000 but requires large upfront investment. While costs are decreasing and technologies improving, lack of standards still pose issues for clinical adoption. However, trends toward more output, lower costs, and easier use point to genomics gradually becoming established in healthcare.
Digital normalization is a new technique for pre-filtering sequencing reads that helps address computational challenges in assembling genomes, transcriptomes, and metagenomes from non-model organisms. It works by discarding redundant reads to smooth coverage and eliminate the majority of errors. Three case studies showed its effectiveness: 1) Assembling the parasitic nematode H. contortus genome, 2) Assembling the lamprey transcriptome without a reference, and 3) Assembling two large soil metagenomes. Digital normalization enabled efficient assemblies and new biological insights in these difficult "weird" samples.
This document provides an overview of visualizing omics data and analyzing 16S rRNA gene sequencing data. It begins with an agenda that includes visualizing omics data, reintroducing 16S analysis, and hands-on 16S analysis in Rstudio. It then discusses topics such as why the 16S gene is commonly used, typical 16S analysis workflows involving sampling, extraction, sequencing, and bioinformatics, and resources for learning about 16S analysis.
This document provides an overview and discussion of next-generation sequencing technologies by C. Titus Brown. It begins by outlining some basics of shotgun sequencing and how increasing density leads to squared increases in the number of sequences obtained. It then discusses current costs for Illumina sequencing and the amount of data needed for different applications. Some challenges and problems with sequencing data are also reviewed, such as systematic bias, genome assembly and scaffolding difficulties, reference gene models, and mRNA isoform construction. Emerging long-read sequencing technologies are also briefly discussed.
This document discusses complex metagenome assembly and career thoughts in bioinformatics. It begins with the speaker's research background and then discusses two main topics: 1) challenges with metagenome assembly due to low coverage regions and strain variation in sequencing data, and approaches using assembly graphs, and 2) the need for more "bioinformaticians in the middle" who are comfortable with both biology and computational analysis to integrate large-scale data into their research. The speaker provides advice for embracing computation and seeking formal training opportunities to develop skills at this intersection of disciplines.
Employing Electrophysiology and Optogenetics to Measure and Manipulate Neuron...InsideScientific
In this webinar, Dr. Tahl Holtzman, Founder of Cambridge NeuroTech, describes a new generation of silicon neural probes offering dozens of recording channels in precisely spaced, high-resolution arrays, built using sophisticated fabrication techniques borrowed from the electronics industry, along with simple-to-follow surgical implantation schemes for both acute and chronic animals.
Watch to learn how to take advantage of ultra-small chronic drives to open up scalability to span multiple brain areas in parallel and to achieve excellent chronic stability. In addition, Dr. Holtzman demonstrates integration of novel probes and drives offered by Cambridge NeuroTech with optogenetics that thereby enable your experiments to have the combined capability for measurement AND manipulation of neuronal activity in both acute and freely behaving settings.
This webinar will benefit both established electrophysiologists who wish to increase their data yield and experimental reach as well as those investigators whose expertise is centred in and around the animal behavioural, neuropharmacological, and optogenetics arenas. Viewers will learn what silicon neural probes are and how to use them in both acute and chronic experiments, best-practice techniques for surgical implantation in species ranging from mice to monkeys and how to integrate fibre optic cannulas with your probes to enable simultaneous opto-electrophysiology.
What if your ecological hacking could focus on the fun stuff like developing new algorithms or UIs, and you didn’t have to worry about things like authentication, data storage, permissions, and access to high-performance computing? iPlant cyberinfrastructure and APIs can help you there! Maybe you’ve never hacked, but you are code curious? Maybe you just need an efficient way to get work done? iPlant offers preinstalled software, GUIs, and cloud-compute gateway services you can start using today. Once you’re hooked, we provide the tools and services to take your skills to the next level. Want to know more? Visit iplantcollaborative.org.
This document summarizes a presentation given by Luke Hickey of Pacific Biosciences on human genome sequencing using PacBio systems. It discusses PacBio sequencing technology developments, sequencing and assembly of the NA12878 genome, and the role of the NIST Genome in a Bottle (GIAB) reference materials. Specifically, it notes that PacBio sequenced the GIAB Ashkenazim trio genomes to high coverage and made the data publicly available. The sequencing and assembly of these genomes helps validate and improve PacBio sequencing technologies and supports the development and release of the trio as new NIST reference materials.
1. The document discusses best practices for scientific software development including writing code for people to read, automating repetitive tasks, using version control, and avoiding redundancy.
2. Specific approaches mentioned are planning for mistakes, automated testing, continuous integration, and using style guides to ensure code is readable and consistently formatted.
3. Knitting allows analyzing and reporting in a single file by embedding R code chunks in markdown documents.
The document discusses the challenges and opportunities that will arise from the exponential growth of biological data in the coming years. It outlines four key areas: 1) Research approaches will need to effectively analyze infinite amounts of data. 2) Software and decentralized infrastructure will be needed to process the data. 3) Open science and reproducible research practices are important for data-driven biology. 4) Training the next generation of biologists in data analysis skills will be a major challenge. The document advocates for open source tools, reproducible research methods, and expanded training programs to help biology take advantage of the coming data deluge.
This document summarizes the work of Hans Jansen and Christiaan Henkel with long read nanopore sequencing. They have sequenced several genomes including carp, eel, king cobra, and Agrobacterium using MinION. Their longest reads were 120 kbp and 93.5 kbp. They also established the MinION Access Program to improve genomes by resolving repeats. As part of this, they formed the MinION Analysis and Reference Consortium to standardize protocols and understand variability between labs. Their work with the E. coli genome demonstrated sources of variation in read counts, lengths, and alignments between labs.
The objective of the experiment is for students to become familiar with databases that can be used to investigate gene sequences and to construct cladograms that provide evidence for evolutionary relatedness among species.
In this investigation, students will:
1. Create cladograms that depict evolutionary relationships among organisms.
2. Analyze biological data with online bioinformatics tools.
3. Connect and apply concepts pertaining to genetics and evolution.
1. The document discusses best practices for scientific software development, including writing code for people rather than computers, automating repetitive tasks, using version control, and conducting code reviews.
2. Specific approaches and tools recommended are planning for mistakes, automated testing, continuous integration, and using a coding style guide. R and Ruby style guides are provided as examples.
3. The benefits of following such practices are improving productivity, reducing errors, making code easier to read and maintain, and allowing scientists to focus on scientific questions rather than software issues. Reproducible and sustainable software is the overall goal.
This document discusses high-throughput DNA sequencing technologies and their application to genome assembly projects. It provides a brief history of DNA sequencing, from early chemical and chain termination methods to current massively parallel sequencing technologies. It also describes several long-read sequencing technologies, including Pacific Biosciences SMRT sequencing and Oxford Nanopore sequencing. Examples are given of genome projects utilizing these technologies along with short-read sequencing data.
This document discusses challenges and opportunities in applying mRNA sequencing (mRNAseq) to non-model organisms. It describes using digital normalization as a way to cope with having a massive amount of lamprey mRNAseq data but an incomplete genomic reference. Digital normalization enables assembly and analysis that would otherwise not be possible. The document also discusses applying digital normalization to ascidian mRNAseq data, where it results in substantial time savings and comparable transcriptomes to those assembled without normalization. Finally, it discusses next steps for lamprey transcriptome analysis including enabling various evolutionary and biological studies.
This document discusses challenges and opportunities in applying mRNA sequencing (mRNAseq) to non-model organisms. It describes using digital normalization to cope with large amounts of lamprey mRNAseq data that would otherwise be too computationally intensive to assemble. Digital normalization was applied successfully to Molgula ascidian mRNAseq data, enabling transcriptome analysis. The lamprey transcriptome was assembled from over 5 billion reads from 50 tissues, producing over 600,000 transcripts. Next steps include addressing contamination issues and using the more complete transcriptome to enable various evolutionary and biological studies of lamprey. The document advocates making protocols and data openly available to help characterize genes in non-model organisms.
Role of bioinformatics in life sciences researchAnshika Bansal
1. The document discusses bioinformatics and summarizes some of its key applications and tools. It describes how bioinformatics merges biology and computer science to solve biological problems by applying computational tools to molecular data.
2. It provides examples of common bioinformatics tasks like retrieving sequences from databases, comparing sequences, analyzing genes and proteins, and viewing 3D structures.
3. The document lists several popular databases for nucleotide sequences, protein sequences, literature, and other biological data. It also introduces common bioinformatics tools for tasks like sequence alignment, translation, and structure analysis.
The bioinformatics challenges and approaches to analyze NGS datayogita sharma
Next generation sequencing technologies have revolutionized genomic and transcriptomic research by providing large amounts of data. However, analyzing this data poses challenges due to its volume. This study compares different bioinformatics algorithms for key steps in ChIP-seq data analysis including alignment, duplicate removal, and peak calling. The authors find that Bowtie is well-suited for alignment provided indel lengths are small. Samtools and Picard remove the same number of duplicate regions. CCAT and MACS differ from other peak calling algorithms in the number and distribution of peaks identified.
Odyssey Of The IWGSC Reference Genome Sequence: 12 Years 1 Month 28 Days 11 ...Fabio Caligaris
Presented at Plant Genomics and Gene Editing Congress: Europe. For more information visit: www.global-engage.com
To meet the challenges of sequencing the large, hexaploid genome, the IWGSC focused initially on developing a solid foundation for sequencing that would accommodate any future advancements in sequencing technologies: i.e., producing physical maps for all 21 individual bread wheat chromosomes.
The Genome in a Bottle Consortium is developing reference materials, reference methods, and reference data to assess confidence in human whole genome variant calls. The Consortium is characterizing several human genomes including the NA12878 genome, an Ashkenazi Jewish trio, and a Chinese trio from the Personal Genome Project. Data generated for these genomes includes various sequencing technologies from Illumina, Complete Genomics, PacBio, BioNano, and others. The Consortium is developing high-confidence variant calls for SNPs, indels, structural variants, and phasing. Individual datasets and integrated variant calls will be made publicly available on the GIAB FTP site.
Expressed sequence tag (EST), molecular markerKAUSHAL SAHU
This document discusses expressed sequence tags (ESTs), which are short sequences of cDNA used to identify genes and study gene expression. It provides a brief history of ESTs, noting they were first coined in 1991. ESTs are generated by sequencing fragments of cDNA from mRNA. They provide a quick and inexpensive way to discover new genes and study transcriptomes. Large databases of ESTs exist that can be searched and mined for various applications, including gene discovery, similarity searching, and transcriptome analysis. Pre-processing and clustering/assembling tools are used to improve EST data quality.
The document describes a protocol for shearing DNA molecules to an appropriate size for next-generation sequencing library preparation using the Bioruptor. The protocol shears genomic DNA or cDNA from Arabidopsis thaliana into fragments around 200-600 nucleotides in length. This is done by placing the DNA sample in the Bioruptor and running cycles of 30 seconds on and 2 minutes off for a total of 3 cycles. The sheared DNA fragments can then be directly used to make libraries for next-generation sequencing technologies such as ChIP-seq or RNA-seq.
Next generation genomics: Petascale data in the life sciencesGuy Coates
Keynote presentation at OGF 28.
The year 2000 saw the release of "The" human genome, the product of a the combined sequencing effort of the whole planet. In 2010, single institutions are sequencing thousands of genomes a year, producing petabytes of data. Furthermore, many of the large scale sequencing projects are based around international collaboration and consortia. The talk will explore how Grid and Cloud technologies are being used to share genomics data around the planet, revolutionizing life science research.
Genomic Cytometry: Using Multi-Omic Approaches to Increase Dimensionality in ...Robert (Rob) Salomon
"Genomic Cytometry: Using Multi-Omic Approaches to Increase Dimensionality in Cytometry" was an Invited Tutorial given at the 2019 CYTO conference for the the International Society for the Advancement of Cytometry on the 22nd May 2019. This tutorial was recorded and we expect that it will be converted to a CYTOU webinar in the near future.
This tutorial will begin by explaining why the emerging field of Genomic Cytometry, i.e. the measurement of cells using genomic techniques (e.g. sequencing), in conjunction with more traditional cytometry techniques such as fluorescence, mass and imaging cytometry is becoming a standard tool for biologists looking to unravel complex cellular processes and to develop a deeper understanding of heterogeneity.
We will give a detailed overview of the various technologies that have allowed the emergence of Genomic Cytometry as well as those that continue to push the boundaries of cellular characterisation.
We will then provide a basic overview of the sequencing process such that both research cytometerists and the staff for the cytometry SRL are better equipped to understand the downstream genomic component of Genomic Cytometry.
Finally, we will wrap up the session with case studies that illustrate the power of the genomic cytometry approach and will give a brief outline of where we feel the field needs to go as it matures. We expect attendees will gain a better understanding of 1) the rapidly maturing field of Genomic Cytometry and 2) how Genomic Cytometry should be leveraged into more traditional cytometry workflows.
DNA sequencing: rapid improvements and their implicationsJeffrey Funk
these slides analyze the rapid improvements in DNA sequencers and the implications for these rapid improvements for drug discovery, new crops, materials creation, and new bio-fuels. Many of the rapid improvements are from "reductions in scale." As with integrated circuits, reducing the size of features on DNA sequencers has enabled many orders of magnitude improvements in them. Unlike integrated circuits, the improvements are also due to changes in technology. For example, changes from pyrosequencing to semiconductor and nanopore sequencing have also been needed to achieve the reductions in scale. Second, pyrosequencing also benefited from improvements in lasers and camera chips.
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
3. NGI:%Mission%statement
Since Jan(1,(2013,(National(Genomics Infrastructure (NGI)(
is a(national%resource for(next generation(sequencing (NGS)
National
resource
State-of-the-art
infrastructure
Guidelines and
support
Our%mission%
! To$make$a$state-of-the-art infrastructure
for$massively$parallel$NGS$and$SNP$genotyping$
available$to$researchers$all$over$Sweden$
enabling$internationally$competitive$research$
in$genomics.
! To$provide guidelines and support for$
study design,$sample collection,$protocol
selection and$bioinformatic analysis.
18. Fungi – our notes
Cultures:)grow on)dialysis discs or)liquid minimal)medium
wash well (PBS,)MgSO4,)etc)
Extraction:)Macherey Nagel)NucleoSpin kits
PhenolDChloroform extraction with highDsalt)CTAB
Spooling DNA)precipitate
If)possible:)protoplasting)and)extraction in)agarose plugs
Fruiting bodies:)no)experience,)sorry.)
In)some cases:)postDextraction purification
(QiaGen Power)Cleanup Pro)
One kit)does not)fit)them all
19. A"journey to"HMW.DNA"world
HMW.DNA"behaves very differently from"LMW.DNA
High viscosity:"
1.#Bad"hydration $>#topological issues
$>#getting HMW$DNA#in#solution#without any concentration gradient#is#an#issue
2.#Presence of contaminants