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Article

VegaMC: a R/bioconductor package for fast downstream analysis of large array comparative genomic hybridization datasets.

Bioinformatics (Oxford, England) - 1 Oct 2012

Morganella Sandro, Ceccarelli Michele

Abstract excerpt

SUMMARY: Identification of genetic alterations of tumor cells has become a common method to detect the genes involved in development and progression of cancer. In order to detect driver genes, several samples need to be simultaneously analyzed. The Cancer Genome Atlas (TCGA) project provides access to a large amount of data for several cancer types. TGCA is an invaluable source of information, but analysis of...

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PMID: 22815357
DOI: 10.1093/bioinformatics/bts453

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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