Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

TCGASpliceSeq

General information

URL: http://bioinformatics.mdanderson.org/TCGASpliceSeq
Full name: TCGASpliceSeq
Description: TCGA SpliceSeq is a resource for investigation of cross-tumor and tumor-normal alterations in mRNA splicing patterns of The Cancer Genome Atlas project (TCGA) RNASeq data.
Year founded: 2016
Last update: 2015-11-23
Version: 1.0
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

Data type:
RNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: University of Texas MD Anderson Cancer Center
Address: Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
City: Houston
Province/State: Texas
Country/Region: United States
Contact name (PI/Team): Michael Ryan
Contact email (PI/Helpdesk): mryan@insilico.us.com

Publications

26602693
TCGASpliceSeq a compendium of alternative mRNA splicing in cancer. [PMID: 26602693]
Ryan M, Wong WC, Brown R, Akbani R, Su X, Broom B, Melott J, Weinstein J.

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. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2016:44(D1) | 270 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
536/6895 (92.241%)
Health and medicine:
132/1738 (92.463%)
Expression:
88/1347 (93.541%)
536
Total Rank
265
Citations
29.444
z-index

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Record metadata

Created on: 2016-01-01
Curated by:
Lin Liu [2022-09-20]
Lin Liu [2022-08-16]
Guangyu Wang [2016-04-01]
Mengwei Li [2016-02-21]
Lin Liu [2016-01-27]
Lin Liu [2016-01-01]