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Public Databases and Software for the Pathway Analysis of Cancer Genomes
The study of pathway disruption is key to understanding cancer biology. Advances in high throughput technologies have led to the rapid accumulation of genomic data. The explosion in available data has generated opportunities for investigation of concerted changes that disrupt biological functions, t...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2410087/ https://www.ncbi.nlm.nih.gov/pubmed/19455256 |
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author | Tsui, Ivy F.L. Chari, Raj Buys, Timon P.H. Lam, Wan L. |
author_facet | Tsui, Ivy F.L. Chari, Raj Buys, Timon P.H. Lam, Wan L. |
author_sort | Tsui, Ivy F.L. |
collection | PubMed |
description | The study of pathway disruption is key to understanding cancer biology. Advances in high throughput technologies have led to the rapid accumulation of genomic data. The explosion in available data has generated opportunities for investigation of concerted changes that disrupt biological functions, this in turns created a need for computational tools for pathway analysis. In this review, we discuss approaches to the analysis of genomic data and describe the publicly available resources for studying biological pathways. |
format | Text |
id | pubmed-2410087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-24100872009-11-10 Public Databases and Software for the Pathway Analysis of Cancer Genomes Tsui, Ivy F.L. Chari, Raj Buys, Timon P.H. Lam, Wan L. Cancer Inform Original Research The study of pathway disruption is key to understanding cancer biology. Advances in high throughput technologies have led to the rapid accumulation of genomic data. The explosion in available data has generated opportunities for investigation of concerted changes that disrupt biological functions, this in turns created a need for computational tools for pathway analysis. In this review, we discuss approaches to the analysis of genomic data and describe the publicly available resources for studying biological pathways. Libertas Academica 2007-12-12 /pmc/articles/PMC2410087/ /pubmed/19455256 Text en © 2007 The authors. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Original Research Tsui, Ivy F.L. Chari, Raj Buys, Timon P.H. Lam, Wan L. Public Databases and Software for the Pathway Analysis of Cancer Genomes |
title | Public Databases and Software for the Pathway Analysis of Cancer Genomes |
title_full | Public Databases and Software for the Pathway Analysis of Cancer Genomes |
title_fullStr | Public Databases and Software for the Pathway Analysis of Cancer Genomes |
title_full_unstemmed | Public Databases and Software for the Pathway Analysis of Cancer Genomes |
title_short | Public Databases and Software for the Pathway Analysis of Cancer Genomes |
title_sort | public databases and software for the pathway analysis of cancer genomes |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2410087/ https://www.ncbi.nlm.nih.gov/pubmed/19455256 |
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