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
Bioinformatics for Cancer Genomics 2018 Module 13-Genes to Pathways
Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.
Bioinformatics for Cancer Genomics 2018 Module 13-Genes to Pathways
https://bioinformaticsdotca.github.io/bicg_2018
http://tess.elixir-uk.org/materials/bioinformatics-for-cancer-genomics-2018-module-13-genes-to-pathways
Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.
Jüri Reimand
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate Students
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 13-Finding Over-Represented Pathways
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 13-Finding Over-Represented Pathways
https://bioinformaticsdotca.github.io/high-throughput_biology_2017
http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-13-finding-over-represented-pathways
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
Jüri Reimand
Graduate Students
Researchers
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
High-Throughput Biology 2017 Module 12-Introduction to Pathway and Network 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 12-Introduction to Pathway and Network Analysis
https://bioinformaticsdotca.github.io/high-throughput_biology_2017
http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-12-introduction-to-pathway-and-network-analysis
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
Jüri Reimand
Graduate students
Researchers
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