Pathways and Network Analysis of -Omics data 2018 Module 3-Network Visualization and Analysis with Cytoscape
Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.
Pathways and Network Analysis of -Omics data 2018 Module 3-Network Visualization and Analysis with Cytoscape
https://bioinformaticsdotca.github.io/pathways_2018
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2018-module-3-network-visualization-and-analysis-with-cytoscape
Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.
Gary Bader
Researchers
Graduate students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Pathways and Network Analysis of -Omics Data 2018 Module 1-Introduction to Pathway and Network Analysis
Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.
Pathways and Network Analysis of -Omics Data 2018 Module 1-Introduction to Pathway and Network Analysis
https://bioinformaticsdotca.github.io/pathways_2018
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2018-module-1-introduction-to-pathway-and-network-analysis
Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.
Gary Bader
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate Students
Informatics on High-Throughput Sequencing Data 2018 Module 6-De Novo Assmebly
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.
Informatics on High-Throughput Sequencing Data 2018 Module 6-De Novo Assmebly
https://bioinformaticsdotca.github.io/htseq_2018
http://tess.elixir-uk.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-6-de-novo-assmebly
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.
Jared Simpson
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate students
Informatics on High-Throughput Sequencing Data 2018 Module 1-Introduction to High-Throughput Sequencing
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.
Informatics on High-Throughput Sequencing Data 2018 Module 1-Introduction to High-Throughput Sequencing
https://bioinformaticsdotca.github.io/htseq_2018
http://tess.elixir-uk.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-1-introduction-to-high-throughput-sequencing
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.
Jared Simpson
Researchers
Graduate students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Bioinformatics for Cancer Genomics 2018 Module 5-Genome Assembly
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 5-Genome Assembly
https://bioinformaticsdotca.github.io/bicg_2018
http://tess.elixir-uk.org/materials/bioinformatics-for-cancer-genomics-2018-module-5-genome-assembly
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.
Jared Simpson
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2018 Module 4-Genome Alignment
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 4-Genome Alignment
https://bioinformaticsdotca.github.io/bicg_2018
http://tess.elixir-uk.org/materials/bioinformatics-for-cancer-genomics-2018-module-4-genome-alignment
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.
Jared Simpson
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
Pathways and Network Analysis of -Omics Data 2017 Module 3-Network Visualization and Analysis with Cytoscape
Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Pathways and Network Analysis of -Omics Data 2017 Module 3-Network Visualization and Analysis with Cytoscape
https://bioinformaticsdotca.github.io/pathways_2017
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2017-module-3-network-visualization-and-analysis-with-cytoscape
Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Gary Bader
Pathways and Network Analysis 2017 Module 2-Finding Over-Represented Pathways
Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Pathways and Network Analysis 2017 Module 2-Finding Over-Represented Pathways
https://bioinformaticsdotca.github.io/pathways_2017
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-2017-module-2-finding-over-represented-pathways
Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Gary Bader
Pathways and Network Analysis of -Omics Data 2017 Module 1-Introduction to Pathway and Network Analysis
Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Pathways and Network Analysis of -Omics Data 2017 Module 1-Introduction to Pathway and Network Analysis
https://bioinformaticsdotca.github.io/pathways_2017
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2017-module-1-introduction-to-pathway-and-network-analysis
Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Gary Bader
Researchers
Biologists, Genomicists, Computer Scientists
Graduate Students
Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly
Course covers the bioinformatics tools required to analyze genomic data sets.
Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly
https://bioinformaticsdotca.github.io//bicg_2017
http://tess.elixir-uk.org/materials/bioinformatics-for-cancer-genomics-2017-module-3-genome-alignment-and-assembly
Course covers the bioinformatics tools required to analyze genomic data sets.
Jared Simpson
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.
Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly
https://bioinformaticsdotca.github.io/htseq_2017
http://tess.elixir-uk.org/materials/informatics-on-high-throughput-sequencing-data-2017-module-6-de-novo-assembly
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.
Jared Simpson
Researchers
Graduate Students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Informatics on High-Throughput Sequencing Data 2017 Module 1-Introduction to High-Throughput Sequencing
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.
Informatics on High-Throughput Sequencing Data 2017 Module 1-Introduction to High-Throughput Sequencing
https://bioinformaticsdotca.github.io/htseq_2017
http://tess.elixir-uk.org/materials/informatics-on-high-throughput-sequencing-data-module-1-introduction-to-high-throughput-sequencing
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.
Jared Simpson
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
High-Throughput Biology 2017 Module 6-De Novo Assembly
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 6-De Novo Assembly
https://bioinformaticsdotca.github.io/high-throughput_biology_2017
http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-6-de-novo-assembly
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
Jared Simpson
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
High-Throughput Biology 2017 Module 1-Introduction to High-Throughput Sequencing
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 1-Introduction to High-Throughput Sequencing
https://bioinformaticsdotca.github.io/high-throughput_biology_2017
http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-1-introduction-to-high-throughput-sequencing
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
Jared Simpson
Graduate students
Post-Doctoral Fellows
Researchers
Biologists, Genomicists, Computer Scientists