Informatics for RNA-Seq Analysis 2018 Module 4-Reference Free Alignment
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Informatics for RNA-Seq Analysis 2018 Module 4-Reference Free Alignment
https://bioinformaticsdotca.github.io/rnaseq_2018
http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2018-module-4-reference-free-alignment
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Malachi Griffith
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate Students
Informatics for RNA-Seq Analysis 2018 Module 1-Introduction to RNA Sequencing Analysis
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Informatics for RNA-Seq Analysis 2018 Module 1-Introduction to RNA Sequencing Analysis
https://bioinformaticsdotca.github.io/rnaseq_2018
http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2018-module-1-introduction-to-rna-sequencing-analysis
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Malachi Griffith
Researchers
Biologists, Genomicists, Computer Scientists
Graduate students
Post-Doctoral Fellows
Informatics for RNA-Seq Analysis 2017 Module 5-Isoform Discovery and Alternative Expression
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Informatics for RNA-Seq Analysis 2017 Module 5-Isoform Discovery and Alternative Expression
https://bioinformaticsdotca.github.io/rnaseq_2017
http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2017-module-5-isoform-discovery-and-alternative-expression
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Malachi Griffith
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
Informatics for RNA-Seq Analysis 2017 Module 4-Reference Free Alignment
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Informatics for RNA-Seq Analysis 2017 Module 4-Reference Free Alignment
https://bioinformaticsdotca.github.io/rnaseq_2017
http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2017-module-4-reference-free-alignment
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Malachi Griffith
Researchers
Graduate Students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
Informatics for RNA-Seq Analysis 2017 Module 1-Introduction to RNA Sequencing Analysis
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Informatics for RNA-Seq Analysis 2017 Module 1-Introduction to RNA Sequencing Analysis
https://bioinformaticsdotca.github.io/rnaseq_2017
http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2017-module-1-introduction-to-rna-sequencing-analysis
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Malachi Griffith
Researchers
Graduate students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
High-Throughput Biology 2017 Module 11-Isoform Discovery and Alternative Expression
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
High-Throughput Biology 2017 Module 11-Isoform Discovery and Alternative Expression
https://bioinformaticsdotca.github.io/high-throughput_biology_2017
http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-11-isoform-discovery-and-alternative-expression
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
Malachi Griffith
Graduate Students
Researchers
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
High-Throughput Biology 2017 Module 10-Reference Free Alignment
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
High-Throughput Biology 2017 Module 10-Reference Free Alignment
https://bioinformaticsdotca.github.io/high-throughput_biology_2017
http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-10-reference-free-alignment
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
Malachi Griffith
Graduate students
Researchers
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
High-Throughput Biology 2017 Module 7-Introduction to RNA Sequencing Analysis
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
High-Throughput Biology 2017 Module 7-Introduction to RNA Sequencing Analysis
https://bioinformaticsdotca.github.io/high-throughput_biology_2017
http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-7-introduction-to-rna-sequencing-analysis
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
Malachi Griffith
Graduate students
Researchers
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
Quality Control in Sequencing Experiments
This course looks at the different ways in which sequencing based studies can fail and the options for visualisation and QC which allow you to identify and diagnose these failures at an early stage. It is designed to be of use to anyone who is using sequencing as part of their research, not just...
Scientific topics: Quality affairs
Keywords: Babraham Institute
Quality Control in Sequencing Experiments
http://www.bioinformatics.babraham.ac.uk/training.html#sequenceqc
http://tess.elixir-uk.org/materials/quality-control-in-sequencing-experiments
This course looks at the different ways in which sequencing based studies can fail and the options for visualisation and QC which allow you to identify and diagnose these failures at an early stage. It is designed to be of use to anyone who is using sequencing as part of their research, not just those who are running sequencing facilities.
Simon Andrews
Laura Biggins
Boo Virk
Quality affairs
Babraham Institute
Extracting biological information from gene lists
Many experimental designs end up producing lists of hits, usually based around genes or transcripts. Sometimes these lists are small enough that they can be examined individually, but often it is useful to do a more structured functional analysis to try to automatically determine any interesting...
Keywords: Functional analysis, Gene lists, Babraham Institute
Extracting biological information from gene lists
http://www.bioinformatics.babraham.ac.uk/training.html#fagl
http://tess.elixir-uk.org/materials/extracting-biological-information-from-gene-lists
Many experimental designs end up producing lists of hits, usually based around genes or transcripts. Sometimes these lists are small enough that they can be examined individually, but often it is useful to do a more structured functional analysis to try to automatically determine any interesting biological themes which turn up in the lists.
This course looks at the various software packages, databases and statistical methods which may be of use in performing such an analysis. As well as being a practical guide to performing these types of analysis the course will also look at the types of artefacts and bias which can lead to false conclusions about functionality and will look at the appropriate ways to both run the analysis and present the results for publication.
Simon Andrews
Laura Biggins
Functional analysis, Gene lists, Babraham Institute
Introduction to R
R is a popular language and environment that allows powerful and fast manipulation of data, offering many statistical and graphical options. This course aims to introduce R as a tool for statistics and graphics, with the main aim being to become comfortable with the R environment. It will focus...
Scientific topics: Software engineering
Keywords: R programming, Babraham Institute
Introduction to R
http://www.bioinformatics.babraham.ac.uk/training.html#rintro
http://tess.elixir-uk.org/materials/introduction-to-r
R is a popular language and environment that allows powerful and fast manipulation of data, offering many statistical and graphical options. This course aims to introduce R as a tool for statistics and graphics, with the main aim being to become comfortable with the R environment. It will focus on entering and manipulating data in R and producing simple graphs. A few functions for basic statistics will be briefly introduced, but statistical functions will not be covered in detail.
Laura Biggins
Simon Andrews
Software engineering
R programming, Babraham Institute
