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TCGASpliceSeq a compendium of alternative mRNA splicing in cancer

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...

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Autores principales: Ryan, Michael, Wong, Wing Chung, Brown, Robert, Akbani, Rehan, Su, Xiaoping, Broom, Bradley, Melott, James, Weinstein, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702910/
https://www.ncbi.nlm.nih.gov/pubmed/26602693
http://dx.doi.org/10.1093/nar/gkv1288
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author Ryan, Michael
Wong, Wing Chung
Brown, Robert
Akbani, Rehan
Su, Xiaoping
Broom, Bradley
Melott, James
Weinstein, John
author_facet Ryan, Michael
Wong, Wing Chung
Brown, Robert
Akbani, Rehan
Su, Xiaoping
Broom, Bradley
Melott, James
Weinstein, John
author_sort Ryan, Michael
collection PubMed
description 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.
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spelling pubmed-47029102016-01-07 TCGASpliceSeq a compendium of alternative mRNA splicing in cancer Ryan, Michael Wong, Wing Chung Brown, Robert Akbani, Rehan Su, Xiaoping Broom, Bradley Melott, James Weinstein, John Nucleic Acids Res Database Issue 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. Oxford University Press 2016-01-04 2015-11-23 /pmc/articles/PMC4702910/ /pubmed/26602693 http://dx.doi.org/10.1093/nar/gkv1288 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Ryan, Michael
Wong, Wing Chung
Brown, Robert
Akbani, Rehan
Su, Xiaoping
Broom, Bradley
Melott, James
Weinstein, John
TCGASpliceSeq a compendium of alternative mRNA splicing in cancer
title TCGASpliceSeq a compendium of alternative mRNA splicing in cancer
title_full TCGASpliceSeq a compendium of alternative mRNA splicing in cancer
title_fullStr TCGASpliceSeq a compendium of alternative mRNA splicing in cancer
title_full_unstemmed TCGASpliceSeq a compendium of alternative mRNA splicing in cancer
title_short TCGASpliceSeq a compendium of alternative mRNA splicing in cancer
title_sort tcgaspliceseq a compendium of alternative mrna splicing in cancer
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702910/
https://www.ncbi.nlm.nih.gov/pubmed/26602693
http://dx.doi.org/10.1093/nar/gkv1288
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