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7 materials found

Authors: Quaid Morris  or Sorana Morrissy 


Bioinformatics for Cancer Genomics 2018 Module 7-Somatic Mutations and Annotations

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 7-Somatic Mutations and Annotations https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-7-somatic-mutations-and-annotations 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. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2018 Module 6-Copy Number Variants

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 6-Copy Number Variants https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-6-copy-number-variants 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. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Pathways and Network Analysis of -Omics Data 2017 Module 5-Gene Function Prediction

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 5-Gene Function Prediction https://tess.elixir-europe.org/materials/pathways-and-network-analysis-of-omics-data-2017-module-5-gene-function-prediction-6ad42062-21b6-4707-bb04-6825d887b37c Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Pathways and Network Analysis of -Omics Data 2017 Module 5-Gene Function Prediction

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 5-Gene Function Prediction https://tess.elixir-europe.org/materials/pathways-and-network-analysis-of-omics-data-2017-module-5-gene-function-prediction Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2017 Module 5-Somatic Mutations and Annotations

Course covers the bioinformatics tools required to analyze genomic data sets.

Bioinformatics for Cancer Genomics 2017 Module 5-Somatic Mutations and Annotations https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2017-module-5-somatic-mutations-and-annotations Course covers the bioinformatics tools required to analyze genomic data sets. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2017 Module 4-Copy Number Variants

Course covers the bioinformatics tools required to analyze genomic data sets.

Bioinformatics for Cancer Genomics 2017 Module 4-Copy Number Variants https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2017-module Course covers the bioinformatics tools required to analyze genomic data sets. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 16-Gene Function Prediction

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 16-Gene Function Prediction https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-16-gene-function-prediction Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows