Initiation to R programming and descriptive statistics
On-line course support for the initiation to R programming and descriptive statistics given to PhD students at Institut Pasteur (Paris, France).
Keywords: R-programming, Descriptive statistics, Statistics, Bioinformatics
Initiation to R programming and descriptive statistics
https://hub-courses.pages.pasteur.fr/R_pasteur_phd/index.html
http://tess.elixir-uk.org/materials/initiation-to-r-programming-and-descriptive-statistics
On-line course support for the initiation to R programming and descriptive statistics given to PhD students at Institut Pasteur (Paris, France).
Institut Pasteur, Bioinformatics and Biostatistics Hub
Blaise Li
Étienne Kornobis
Sébastien Mella
Vincent Guillemot
R-programming, Descriptive statistics, Statistics, Bioinformatics
PhD students
Post-Doctoral Fellows
Biologists
ELB19F - Entry level Bioinformatics (First course in 2019)
Training material for an entry-level course in bioinformatics with a soft introduction to NGS data analysis.
Keywords: Bioinformatics, Sequencing
Resource type: Documentation, Exercise, Handout, Scripts
ELB19F - Entry level Bioinformatics (First course in 2019)
https://gtpb.github.io/ELB19F/
http://tess.elixir-uk.org/materials/elb19f-entry-level-bioinformatics-first-course-in-2019
Training material for an entry-level course in bioinformatics with a soft introduction to NGS data analysis.
The Gulbenkian Training Programme in Bioinformatics
David Philip Judge
Daniel Sobral
Pedro Fernandes
Bioinformatics, Sequencing
Academia/ Research Institution
Industry
Non-Profit Organisation
Healthcare
ELBS18 - Entry level Bioinformatics (Second course in 2018)
Training material for an entry-level course in bioinformatics with a soft introduction to NGS data analysis
Keywords: Bioinformatics, Sequencing
Resource type: Documentation, Exercise, Handout, Scripts
ELBS18 - Entry level Bioinformatics (Second course in 2018)
https://gtpb.github.io/ELB18S/
http://tess.elixir-uk.org/materials/elbs18-entry-level-bioinformatics-second-course-in-2018
Training material for an entry-level course in bioinformatics with a soft introduction to NGS data analysis
The Gulbenkian Training Programme in Bioinformatics
David Philip Judge
Daniel Sobral
Pedro Fernandes
Bioinformatics, Sequencing
Academia/ Research Institution
Industry
Non-Profit Organisation
Healthcare
ELB18F - Entry level Bioinformatics (First course in 2018)
Training material for entry level course in bioinformatics with a soft introduction to NGS data analysis.
Keywords: Bioinformatics, Sequencing
Resource type: Documentation, Exercise, Handout, Scripts
ELB18F - Entry level Bioinformatics (First course in 2018)
https://gtpb.github.io/ELB18F/
http://tess.elixir-uk.org/materials/elb18f-entry-level-bioinformatics-first-course-in-2018
Training material for entry level course in bioinformatics with a soft introduction to NGS data analysis.
The Gulbenkian Training Programme in Bioinformatics
David Philip Judge
Daniel Sobral
Pedro Fernandes
Bioinformatics, Sequencing
Academia/ Research Institution
Industry
Non-Profit Organisation
Healthcare
PPB18 - Programming in Python for Biologists (2018)
Training Material that covers the basic concepts of Python, such as calculation, organization of data, reading and writing files, program logic and writing larger programs. All the examples and exercises focus on solving biological problems.
Operations: Data handling, Data retrieval
Keywords: Bioinformatics, Biology, Biological databases
Resource type: Documentation, Exercise, Handout, Scripts
PPB18 - Programming in Python for Biologists (2018)
https://gtpb.github.io/PPB18/
http://tess.elixir-uk.org/materials/ppb18-programming-in-python-for-biologists-2018
Training Material that covers the basic concepts of Python, such as calculation, organization of data, reading and writing files, program logic and writing larger programs. All the examples and exercises focus on solving biological problems.
The Gulbenkian Training Programme in Bioinformatics
Allegra Via
Vincenza Colonna
David Philip Judge
Bioinformatics, Biology, Biological databases
Academia/ Research Institution
Industry
Non-Profit Organisation
Healthcare
EMBL-EBI Train Online
If you work in the life sciences, you may find that you’re spending less time doing experiments and more time analysing huge amounts of biological data. Train online is here to help you do this quickly and efficiently.
Scientific topics: Bioinformatics
Keywords: Bioinformatics, Chemical biology, Cross domain, Dna rna, Gene expression, Literature, Ontologies, Proteins, Structures, Systems
EMBL-EBI Train Online
https://www.mygoblet.org/training-portal/materials/embl-ebi-train-online
http://tess.elixir-uk.org/materials/embl-ebi-train-online
If you work in the life sciences, you may find that you’re spending less time doing experiments and more time analysing huge amounts of biological data. Train online is here to help you do this quickly and efficiently.
Nicole Vasilevsky
Bioinformatics
Bioinformatics, Chemical biology, Cross domain, Dna rna, Gene expression, Literature, Ontologies, Proteins, Structures, Systems
Beginner informatics
Life sciences
2018-05-11
Introduction to Biopython
This is a module from the "Python for Biologists" course. The module presents an introduction to Biopython. It shows how to deal with sequences and sequence records, how to download records from NCBI databases, how to run Blast and how to parse XML Blast outputs.
Keywords: Bioinformatics, Biopython, Programming, Python, Python biologists
Introduction to Biopython
https://www.mygoblet.org/training-portal/materials/introduction-biopython
http://tess.elixir-uk.org/materials/introduction-to-biopython
This is a module from the "Python for Biologists" course. The module presents an introduction to Biopython. It shows how to deal with sequences and sequence records, how to download records from NCBI databases, how to run Blast and how to parse XML Blast outputs.
allegra.via Via
Bioinformatics, Biopython, Programming, Python, Python biologists
Biologists
Biologists, Genomicists, Computer Scientists
bioinformaticians
2013-11-04
2017-10-09
Filename Expansion
Filename Expansion from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/05-expansion.md.
Filename Expansion
https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/05-expansion.md
http://tess.elixir-uk.org/materials/filename-expansion
Filename Expansion from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/05-expansion.md.
Shell
Intermediate
Job Control
Job Control from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/04-job.md.
Job Control
https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/04-job.md
http://tess.elixir-uk.org/materials/job-control
Job Control from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/04-job.md.
Shell
Intermediate
Instructor's Guide
Instructor's Guide from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/guide.md.
Instructor's Guide
https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/guide.md
http://tess.elixir-uk.org/materials/instructor-s-guide
Instructor's Guide from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/guide.md.
Shell
Intermediate
Variables
Variables from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/03-var.md.
Variables
https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/03-var.md
http://tess.elixir-uk.org/materials/variables
Variables from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/03-var.md.
Shell
Intermediate
Loops
Loops from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/04-loop.md.
Loops
https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/04-loop.md
http://tess.elixir-uk.org/materials/loops
Loops from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/04-loop.md.
Shell
Novice
Creating Things
Creating Things from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/02-create.md.
Creating Things
https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/02-create.md
http://tess.elixir-uk.org/materials/creating-things
Creating Things from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/02-create.md.
Shell
Novice
Shell Scripts
Shell Scripts from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/05-script.md.
Shell Scripts
https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/05-script.md
http://tess.elixir-uk.org/materials/shell-scripts
Shell Scripts from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/05-script.md.
Shell
Novice
Pipes and Filters
Pipes and Filters from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/03-pipefilter.md.
Pipes and Filters
https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/03-pipefilter.md
http://tess.elixir-uk.org/materials/pipes-and-filters
Pipes and Filters from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/03-pipefilter.md.
Shell
Novice
Introducing the Shell
Introducing the Shell from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/00-intro.md.
Introducing the Shell
https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/00-intro.md
http://tess.elixir-uk.org/materials/introducing-the-shell
Introducing the Shell from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/00-intro.md.
Shell
Novice
Finding Things
Finding Things from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/06-find.md.
Finding Things
https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/06-find.md
http://tess.elixir-uk.org/materials/finding-things
Finding Things from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/06-find.md.
Shell
Novice
Files and Directories
Files and Directories from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/01-filedir.md.
Files and Directories
https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/01-filedir.md
http://tess.elixir-uk.org/materials/files-and-directories
Files and Directories from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/01-filedir.md.
Shell
Novice
Permissions
Permissions from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/01-perm.md.
Permissions
https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/01-perm.md
http://tess.elixir-uk.org/materials/permissions
Permissions from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/01-perm.md.
Shell
Intermediate
Working Remotely
Working Remotely from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/02-ssh.md.
Working Remotely
https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/02-ssh.md
http://tess.elixir-uk.org/materials/working-remotely
Working Remotely from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/02-ssh.md.
Shell
Intermediate
RNA-seq data analysis: from raw reads to differentially expressed genes
This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of...
Scientific topics: Sequencing, RNA, Data architecture, analysis and design, Bioinformatics
Keywords: Bioinformatics, Differential expression, Ngs, Rna seq
RNA-seq data analysis: from raw reads to differentially expressed genes
https://www.mygoblet.org/training-portal/materials/rna-seq-data-analysis-raw-reads-differentially-expressed-genes
http://tess.elixir-uk.org/materials/rna-seq-data-analysis-from-raw-reads-to-differentially-expressed-genes
This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of 10-30 minute lectures intertwined with hands-on exercises, and it can be accomplished in a day. As the user-friendly Chipster software is used in the exercises, no prior knowledge of R/Bioconductor or Unix ir required, and the course is thus suitable for everybody. Our book RNA-seq data analysis: A practical approach (CRC Press) can be used as background reading.
The following topics and analysis tools are covered:
1. Introduction to the Chipster analysis platform
2. Quality control of raw reads (FastQC, PRINSEQ)
3. Preprocessing (Trimmomatic, PRINSEQ)
4. Alignment to reference genome (TopHat2)
5. Alignment level quality control (RseQC)
6. Quantitation (HTSeq)
7. Experiment level quality control with PCA and MDS plots
8. Differential expression analysis (DESeq2, edgeR)
-normalization
-dispersion estimation
-statistical testing
-controlling for batch effects, multifactor designs
-filtering
-multiple testing correction
9. Visualization of reads and results
-genome browser
-Venn diagram
-volcano plot
-plotting normalized counts for a gene
-expression profiles
10. Experimental design
Eija Korpelainen
Sequencing
RNA
Data architecture, analysis and design
Bioinformatics
Bioinformatics, Differential expression, Ngs, Rna seq
Bench biologists
Life Science Researchers
2015-12-04
2017-10-09
EMBO 2015
Link to the GitHub repository containing all the training materials made available for the 2015 EMBO event held at TGAC
Scientific topics: Protein binding sites, Molecular interactions, pathways and networks
Keywords: Bioinformatics, Multiple sequence alignment, Network visualization, Protein protein interaction networks
EMBO 2015
https://www.mygoblet.org/training-portal/materials/embo-2015
http://tess.elixir-uk.org/materials/embo-2015
Link to the GitHub repository containing all the training materials made available for the 2015 EMBO event held at TGAC
Paul Yorke
Protein binding sites
Molecular interactions, pathways and networks
Bioinformatics, Multiple sequence alignment, Network visualization, Protein protein interaction networks
PhD students
post-docs
2015-10-08
2017-10-09
Metagenome data analysis Workshop, May 21-23, 2014
SciLifelab and AllBio are arranging a workshop on the analysis and interpretation of metagenomics data.
In this workshop we will combine talks by experts in the field with practical tutorials guiding the participants in the analysis of representative datasets.
Speakers:
Lex Nederbragt, Oslo...
Keywords: Allbio, Assembly, Binning, Bioinformatics, Data analysis, Metagenomics
Metagenome data analysis Workshop, May 21-23, 2014
https://www.mygoblet.org/training-portal/materials/metagenome-data-analysis-workshop-may-21-23-2014
http://tess.elixir-uk.org/materials/metagenome-data-analysis-workshop-may-21-23-2014
SciLifelab and AllBio are arranging a workshop on the analysis and interpretation of metagenomics data.
In this workshop we will combine talks by experts in the field with practical tutorials guiding the participants in the analysis of representative datasets.
Speakers:
Lex Nederbragt, Oslo University, Norway, Saskia Smits, Erasmus University Rotterdam, Netherlands, Joakim Larsson, Göteborg University, Sweden
Paul Wilmes, University of Luxembourg, Luxembourg, Anders Andersson, SciLifeLab, Sweden
Noan Le Bescot, UPMC (Tara expedition), France
Tutorial supervisors:
Ino de Bruijn, SciLifeLab, Sweden
Johannes Alneberg, SciLifeLab, Sweden
Luisa Hugerth, SciLifeLab, Sweden
Johan Bengtsson, Göteborg University, Sweden
Mikael Huss, SciLifeLab, Sweden
Venue:
Science for Life Laboratory, Tomtebodavägen 23A, 17165 Solna, Sweden
Conference room Air/Fire, Gamma building
Organisers:
Mikael Huss (mikael.huss@scilifelab.se)
Thomas Svensson (thomas.svensson@scilifelab.se)
Thomas Svensson
Allbio, Assembly, Binning, Bioinformatics, Data analysis, Metagenomics
2014-09-29
2017-10-09
Plant and Pathogen Bioinformatics
This package contains presentations and other training material given at the AllBio Plant and Pathogen Bioinformatics training course, held at the European Bioinformatics Institute, Hinxton, United Kingdom, Tuesday, July 8, 2014 - Friday, July 11, 2014. The course was aimed at giving an...
Keywords: Allbio, Bioinformatics, Biological databases, Genome sequence analysis, Pathogenesis, Phytopathogens, Plants
Plant and Pathogen Bioinformatics
https://www.mygoblet.org/training-portal/materials/plant-and-pathogen-bioinformatics
http://tess.elixir-uk.org/materials/plant-and-pathogen-bioinformatics
This package contains presentations and other training material given at the AllBio Plant and Pathogen Bioinformatics training course, held at the European Bioinformatics Institute, Hinxton, United Kingdom, Tuesday, July 8, 2014 - Friday, July 11, 2014. The course was aimed at giving an introduction to researchers wishing to work in the plant-pathogen interactions area, covering major database resources and basis data analysis techniques. The aims of the course were to teach participants how to browse and access a range of data types from leading public repositories; use bioinformatic tools to explore plant and pathogen-related biological data; discuss the benefits and limitations of various bioinformatic techniques; and assess the purpose of specific analyses in a wider context. We would like to thank all presenters for their contributions and their willingness to further distribute their material via Goblet.
Paul Kersey
Allbio, Bioinformatics, Biological databases, Genome sequence analysis, Pathogenesis, Phytopathogens, Plants
beginner bioinformaticians
early stage phytopathogen researchers
2014-09-11
2017-10-09
Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Benjamin Good
Online Gaming in Bioinformatics: The ‘Fun’ Model to Online Bioinformatics Education
Benjamin Good, Senior Staff Scientist, Department of Molecular and Experimental Medicine, The Scripps Research Institute.
Dr. Good’s research focuses on games with a purpose in crowdsourcing biological knowledge....
Scientific topics: Bioinformatics
Keywords: Bioinformatics, Gaming, Online learning
Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Benjamin Good
https://www.mygoblet.org/training-portal/materials/workshop-education-bioinformatics-2014-ismb-2014-benjamin-good
http://tess.elixir-uk.org/materials/workshop-on-education-in-bioinformatics-2014-ismb-2014-benjamin-good
Online Gaming in Bioinformatics: The ‘Fun’ Model to Online Bioinformatics Education
Benjamin Good, Senior Staff Scientist, Department of Molecular and Experimental Medicine, The Scripps Research Institute.
Dr. Good’s research focuses on games with a purpose in crowdsourcing biological knowledge. To this end, his research has contributed to the development of a suite of interactive video games that allow for play, learning and contributions to science: genegames.org. Dr. Good spoke on online games for bioinformatics and how they can (or cannot) be used to teach bioinformatics at WEB 2014 at ISMB 2014.
Michelle Brazas
Bioinformatics
Bioinformatics, Gaming, Online learning
General Interest
2014-08-14
2017-10-09
Workshop on Education in Bioinformatics 2014 - ISMB 2014 - David Searls
Self-directed Learning: Does online learning in bioinformatics work?
Proposed Speaker: (CONFIRMED) David Searls, Adjunct Associate Professor, Perleman School of Medicine, University of Pennsylvania.
Dr. Searls is an independent consultant in bioinformatics and former Senior VP of Bioinformatics...
Keywords: Bioinformatics, Mooc, Online learning
Workshop on Education in Bioinformatics 2014 - ISMB 2014 - David Searls
https://www.mygoblet.org/training-portal/materials/workshop-education-bioinformatics-2014-ismb-2014-david-searls
http://tess.elixir-uk.org/materials/workshop-on-education-in-bioinformatics-2014-ismb-2014-david-searls
Self-directed Learning: Does online learning in bioinformatics work?
Proposed Speaker: (CONFIRMED) David Searls, Adjunct Associate Professor, Perleman School of Medicine, University of Pennsylvania.
Dr. Searls is an independent consultant in bioinformatics and former Senior VP of Bioinformatics at GlaxoSmithKline Pharmaceuticals. He recently authored “Ten Simple Rules for Online Learning” and “An Online Bioinformatics Curriculum”. Dr. Searls spoke on the opportunities and challenges of online learning in bioinformatics from a learner's perspective at WEB 2014 at ISMB 2014.
Michelle Brazas
Bioinformatics, Mooc, Online learning
General Interest
2014-08-14
2017-10-09
Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Michael Love
MOOCs in Bioinformatics: The Online Course Model to Online Bioinformatics Education
Dr. Michael Love, edX Faculty and post-doctoral fellow in Dept. Biostatistics, Dana Farber Cancer Institute and Harvard School of Public Health.
Dr. Love teaches the Data Analysis for Genomics course offered...
Keywords: Bioinformatics, Mooc
Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Michael Love
https://www.mygoblet.org/training-portal/materials/workshop-education-bioinformatics-2014-ismb-2014-michael-love
http://tess.elixir-uk.org/materials/workshop-on-education-in-bioinformatics-2014-ismb-2014-michael-love
MOOCs in Bioinformatics: The Online Course Model to Online Bioinformatics Education
Dr. Michael Love, edX Faculty and post-doctoral fellow in Dept. Biostatistics, Dana Farber Cancer Institute and Harvard School of Public Health.
Dr. Love teaches the Data Analysis for Genomics course offered through edX. His research focuses on inferring biologically meaningful patterns from high-throughput sequencing read counts. He also develops open-source statistical software for the analysis of exome sequencing and RNA sequencing experiments for the Bioconductor Project. Dr. Love spoke on how open online courses operate and how they can (or cannot) be used to teach bioinformatics at WEB 2014 at ISMB 2014.
Michelle Brazas
Bioinformatics, Mooc
2014-08-14
2017-10-09
Bioinformatics Introductory Module
This Bioinformatics Introductory Module for self-study was designed for future students of the Molecular Mechanisms of Disease (MMD) master’s program at Radboud University Medical Centre. To level out the starting differences in bioinformatics knowledge between this incoming heterogeneous group...
Keywords: Bioinformatics, Genome browsing, Genomics, Protein structure
Bioinformatics Introductory Module
https://www.mygoblet.org/training-portal/materials/bioinformatics-introductory-module
http://tess.elixir-uk.org/materials/bioinformatics-introductory-module
This Bioinformatics Introductory Module for self-study was designed for future students of the Molecular Mechanisms of Disease (MMD) master’s program at Radboud University Medical Centre. To level out the starting differences in bioinformatics knowledge between this incoming heterogeneous group of students as much as possible, we have designed an introductory course module that should allow them – via self study and hands-on exercises – to acquire sufficient basic bioinformatics knowledge.
Keywords: Databases, Sequence homology, Phylogeny, Protein structure, Microarrays, Proteomics, Expression analysis, Protein-protein interaction, Cluster analysis, protein modelling, networks, bioinformatics.
Anticipated time needed to complete the module: 40 hours. Answers for all the exercises are available on request.
Of course you do need internet connection to perform the hands-on exercises. There is no need, however, to install programs onto your computer and also low-speed data transfer should be sufficient. All literature that is cited and used throughout the module was taken from open access sources.
Celia van Gelder
Bioinformatics, Genome browsing, Genomics, Protein structure
Life Science Researchers
Master students
2014-06-27
2017-10-09
Simple plotting in R
This quick and simple tutorial demonstrates some of the easy plotting tools in the R core software.
the data are in the "data" directory and come from an old two-colour microarray experiment where spots on the array were printed with different buffers, in different concentrations and with...
Keywords: Bioinformatics, Microarray data analysis, Plotting data, R, Visualisation
Simple plotting in R
https://www.mygoblet.org/training-portal/materials/simple-plotting-r
http://tess.elixir-uk.org/materials/simple-plotting-in-r
This quick and simple tutorial demonstrates some of the easy plotting tools in the R core software.
the data are in the "data" directory and come from an old two-colour microarray experiment where spots on the array were printed with different buffers, in different concentrations and with different pins. Also, both channels Cy5 and Cy3 were spotted identically, and so the fold ratio for all spots should be 1 - this helps us see bias in the data
Mick Watson
Bioinformatics, Microarray data analysis, Plotting data, R, Visualisation
Beginners
PhD students
Researchers
Scientists
2014-01-14
2017-10-09
Quality Control of Illumina Sequencing data in the cloud
This course was created as part of the SeqAhead project and contains both powerpoint presentations and course materials that teach students how to set up an Amazon EC2 virtual machine, connect to it, download some Illumina data from the short read archive (SRA), assess the quality of the data...
Keywords: Bioinformatics, Cloud, Next generation sequencing, Next generation sequencing data analysis, Ngs bioinformatics, Qc ngs data
Quality Control of Illumina Sequencing data in the cloud
https://www.mygoblet.org/training-portal/materials/quality-control-illumina-sequencing-data-cloud
http://tess.elixir-uk.org/materials/quality-control-of-illumina-sequencing-data-in-the-cloud
This course was created as part of the SeqAhead project and contains both powerpoint presentations and course materials that teach students how to set up an Amazon EC2 virtual machine, connect to it, download some Illumina data from the short read archive (SRA), assess the quality of the data and learn to trim both bad quality bases and adapter sequences
Mick Watson
Bioinformatics, Cloud, Next generation sequencing, Next generation sequencing data analysis, Ngs bioinformatics, Qc ngs data
Beginners
2014-01-13
2017-10-09