TCGASpliceSeq a compendium of alternative mRNA splicing in cancer

Michael Ryan, Wing Chung Wong, Robert Brown, Rehan Akbani, Xiaoping Su, Bradley Broom, James Melott, John Weinstein

Research output: Contribution to journalArticlepeer-review

240 Scopus citations

Abstract

TCGA's RNASeq data represent one of the largest collections of cancer transcriptomes ever assembled. RNASeq technology, combined with computational tools like our SpliceSeq package, provides a comprehensive, detailed view of alternative mRNA splicing. Aberrant splicing patterns in cancers have been implicated in such processes as carcinogenesis, de-differentiation and metastasis. TCGA SpliceSeq (http://bioinformatics.mdanderson. org/TCGASpliceSeq) is a web-based resource that provides a quick, user-friendly, highly visual interface for exploring the alternative splicing patterns of TCGA tumors. Percent Spliced In (PSI) values for splice events on samples from 33 different tumor types, including available adjacent normal samples, have been loaded into TCGA SpliceSeq. Investigators can interrogate genes of interest, search for the genes that show the strongest variation between or among selected tumor types, or explore splicing pattern changes between tumor and adjacent normal samples. The interface presents intuitive graphical representations of splicing patterns, read counts and various statistical summaries, including percent spliced in. Splicing data can also be downloaded for inclusion in integrative analyses. TCGA SpliceSeq is freely available for academic, government or commercial use.

Original languageEnglish (US)
Pages (from-to)D1018-D1022
JournalNucleic acids research
Volume44
Issue numberD1
DOIs
StatePublished - 2016

ASJC Scopus subject areas

  • Genetics

MD Anderson CCSG core facilities

  • Bioinformatics Shared Resource

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