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BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis

BioXpress is a gene expression and cancer association database in which the expression levels are mapped to genes using RNA-seq data obtained from The Cancer Genome Atlas, International Cancer Genome Consortium, Expression Atlas and publications. The BioXpress database includes expression data from...

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Autores principales: Wan, Quan, Dingerdissen, Hayley, Fan, Yu, Gulzar, Naila, Pan, Yang, Wu, Tsung-Jung, Yan, Cheng, Zhang, Haichen, Mazumder, Raja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4377087/
https://www.ncbi.nlm.nih.gov/pubmed/25819073
http://dx.doi.org/10.1093/database/bav019
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author Wan, Quan
Dingerdissen, Hayley
Fan, Yu
Gulzar, Naila
Pan, Yang
Wu, Tsung-Jung
Yan, Cheng
Zhang, Haichen
Mazumder, Raja
author_facet Wan, Quan
Dingerdissen, Hayley
Fan, Yu
Gulzar, Naila
Pan, Yang
Wu, Tsung-Jung
Yan, Cheng
Zhang, Haichen
Mazumder, Raja
author_sort Wan, Quan
collection PubMed
description BioXpress is a gene expression and cancer association database in which the expression levels are mapped to genes using RNA-seq data obtained from The Cancer Genome Atlas, International Cancer Genome Consortium, Expression Atlas and publications. The BioXpress database includes expression data from 64 cancer types, 6361 patients and 17 469 genes with 9513 of the genes displaying differential expression between tumor and normal samples. In addition to data directly retrieved from RNA-seq data repositories, manual biocuration of publications supplements the available cancer association annotations in the database. All cancer types are mapped to Disease Ontology terms to facilitate a uniform pan-cancer analysis. The BioXpress database is easily searched using HUGO Gene Nomenclature Committee gene symbol, UniProtKB/RefSeq accession or, alternatively, can be queried by cancer type with specified significance filters. This interface along with availability of pre-computed downloadable files containing differentially expressed genes in multiple cancers enables straightforward retrieval and display of a broad set of cancer-related genes. Database URL: http://hive.biochemistry.gwu.edu/tools/bioxpress
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spelling pubmed-43770872015-06-26 BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis Wan, Quan Dingerdissen, Hayley Fan, Yu Gulzar, Naila Pan, Yang Wu, Tsung-Jung Yan, Cheng Zhang, Haichen Mazumder, Raja Database (Oxford) Database Tool BioXpress is a gene expression and cancer association database in which the expression levels are mapped to genes using RNA-seq data obtained from The Cancer Genome Atlas, International Cancer Genome Consortium, Expression Atlas and publications. The BioXpress database includes expression data from 64 cancer types, 6361 patients and 17 469 genes with 9513 of the genes displaying differential expression between tumor and normal samples. In addition to data directly retrieved from RNA-seq data repositories, manual biocuration of publications supplements the available cancer association annotations in the database. All cancer types are mapped to Disease Ontology terms to facilitate a uniform pan-cancer analysis. The BioXpress database is easily searched using HUGO Gene Nomenclature Committee gene symbol, UniProtKB/RefSeq accession or, alternatively, can be queried by cancer type with specified significance filters. This interface along with availability of pre-computed downloadable files containing differentially expressed genes in multiple cancers enables straightforward retrieval and display of a broad set of cancer-related genes. Database URL: http://hive.biochemistry.gwu.edu/tools/bioxpress Oxford University Press 2015-03-28 /pmc/articles/PMC4377087/ /pubmed/25819073 http://dx.doi.org/10.1093/database/bav019 Text en © The Author(s) 2015. Published by Oxford University Press. 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 Tool
Wan, Quan
Dingerdissen, Hayley
Fan, Yu
Gulzar, Naila
Pan, Yang
Wu, Tsung-Jung
Yan, Cheng
Zhang, Haichen
Mazumder, Raja
BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis
title BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis
title_full BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis
title_fullStr BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis
title_full_unstemmed BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis
title_short BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis
title_sort bioxpress: an integrated rna-seq-derived gene expression database for pan-cancer analysis
topic Database Tool
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4377087/
https://www.ncbi.nlm.nih.gov/pubmed/25819073
http://dx.doi.org/10.1093/database/bav019
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