Colorectal cancer atlas: An integrative resource for genomic and proteomic annotations from colorectal cancer cell lines and tissues | Zendy

David Chisanga | Zendy; Shivakumar Keerthikumar | Zendy; Mohashin Pathan | Zendy; Dinuka Ariyaratne | Zendy; Hina Kalra | Zendy; Stephanie Boukouris | Zendy; Nidhi Abraham Mathew | Zendy; Haidar Al Saffar | Zendy; Lahiru Gangoda | Zendy; ChingSeng Ang | Zendy; Oliver M. Sieber | Zendy; John M. Mariadason | Zendy; Ramanuj DasGupta | Zendy; Naveen Chilamkurti | Zendy; Suresh Mathivanan | Zendy

Open Access

Colorectal cancer atlas: An integrative resource for genomic and proteomic annotations from colorectal cancer cell lines and tissues

Author(s) -

David Chisanga,

Shivakumar Keerthikumar,

Mohashin Pathan,

Dinuka Ariyaratne,

Hina Kalra,

Stephanie Boukouris,

Nidhi Abraham Mathew,

Haidar Al Saffar,

Lahiru Gangoda,

ChingSeng Ang,

Oliver M. Sieber,

John M. Mariadason,

Ramanuj DasGupta,

Naveen Chilamkurti,

Suresh Mathivanan

Publication year - 2015

Publication title -

nucleic acids research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.008

H-Index - 537

eISSN - 1362-4954

pISSN - 0305-1048

DOI - 10.1093/nar/gkv1097

Subject(s) - colorectal cancer , biology , human protein atlas , computational biology , context (archaeology) , cancer , bioinformatics , database , gene , genetics , computer science , protein expression , paleontology

In order to advance our understanding of colorectal cancer (CRC) development and progression, biomedical researchers have generated large amounts of OMICS data from CRC patient samples and representative cell lines. However, these data are deposited in various repositories or in supplementary tables. A database which integrates data from heterogeneous resources and enables analysis of the multidimensional data sets, specifically pertaining to CRC is currently lacking. Here, we have developed Colorectal Cancer Atlas (http://www.colonatlas.org), an integrated web-based resource that catalogues the genomic and proteomic annotations identified in CRC tissues and cell lines. The data catalogued to-date include sequence variations as well as quantitative and non-quantitative protein expression data. The database enables the analysis of these data in the context of signaling pathways, protein-protein interactions, Gene Ontology terms, protein domains and post-translational modifications. Currently, Colorectal Cancer Atlas contains data for >13 711 CRC tissues, >165 CRC cell lines, 62 251 protein identifications, >8.3 million MS/MS spectra, >18 410 genes with sequence variations (404 278 entries) and 351 pathways with sequence variants. Overall, Colorectal Cancer Atlas has been designed to serve as a central resource to facilitate research in CRC.

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