https://github.com/bioconductor/cbiit
Material for CBIIT seminar, April 13
Science Score: 13.0%
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Low similarity (4.5%) to scientific vocabulary
Repository
Material for CBIIT seminar, April 13
Basic Info
- Host: GitHub
- Owner: Bioconductor
- Default Branch: devel
- Size: 1.95 KB
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Metadata Files
README.md
CEBIIT: Bioconductor for integrative cancer genomic analysis
Bioconductor is a widely-used collection of R packages for the statistical analysis and comprehension of high-throughput genomic data. Bioconductor has strengths in sequence (RNA-seq, ChIP-seq, called variants, ...) and microarray (expression, methylation, copy number, ...) analysis, as well as signficant facilities for flow cytometry, proteomics, and many other 'omics domains. The breadth of available facilities coupled with principles of interoperability and reproducibility make Bioconductor an ideal platform for integrative approaches to cancer genomics. This presentation outlines technical aspects of recent and forthcoming facilities to enable integrative cancer genomic analysis in Bioconductor. We discussion our own work to enable routine integrate of large-scale consortium (e.g., ENCODE, Ensembl) annotation into analysis work flows, development within Bioconductor of facilities to manage multiple-assay experiments, and approaches to scaling R's in-memory model to large scale data sets. The presentation concludes with a brief overview of integrative approaches contributed to Bioconductor by our international contributors.
Owner
- Name: Bioconductor
- Login: Bioconductor
- Kind: organization
- Website: https://bioconductor.org
- Repositories: 156
- Profile: https://github.com/Bioconductor
Software for the analysis and comprehension of high-throughput genomic data
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- katrinleinweber (1)