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CINdex: A Bioconductor Package for Analysis of Chromosome Instability in DNA Copy Number Data
The CINdex Bioconductor package addresses an important area of high-throughput genomic analysis. It calculates the chromosome instability (CIN) index, a novel measurement that quantitatively characterizes genome-wide copy number alterations (CNAs) as a measure of CIN. The advantage of this package i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5761903/ https://www.ncbi.nlm.nih.gov/pubmed/29343938 http://dx.doi.org/10.1177/1176935117746637 |
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author | Song, Lei Bhuvaneshwar, Krithika Wang, Yue Feng, Yuanjian Shih, Ie-Ming Madhavan, Subha Gusev, Yuriy |
author_facet | Song, Lei Bhuvaneshwar, Krithika Wang, Yue Feng, Yuanjian Shih, Ie-Ming Madhavan, Subha Gusev, Yuriy |
author_sort | Song, Lei |
collection | PubMed |
description | The CINdex Bioconductor package addresses an important area of high-throughput genomic analysis. It calculates the chromosome instability (CIN) index, a novel measurement that quantitatively characterizes genome-wide copy number alterations (CNAs) as a measure of CIN. The advantage of this package is an ability to compare CIN index values between several groups for patients (case and control groups), which is a typical use case in translational research. The differentially changed cytobands or chromosomes can then be linked to genes located in the affected genomic regions, as well as pathways. This enables in-depth systems biology–based network analysis and assessment of the impact of CNA on various biological processes or clinical outcomes. This package was successfully applied to analysis of DNA copy number data in colorectal cancer as a part of multi-omics integrative study as well as for analysis of several other cancer types. The source code, along with an end-to-end tutorial, and example data are freely available in Bioconductor at http://bioconductor.org/packages/CINdex/. |
format | Online Article Text |
id | pubmed-5761903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-57619032018-01-17 CINdex: A Bioconductor Package for Analysis of Chromosome Instability in DNA Copy Number Data Song, Lei Bhuvaneshwar, Krithika Wang, Yue Feng, Yuanjian Shih, Ie-Ming Madhavan, Subha Gusev, Yuriy Cancer Inform Methodology The CINdex Bioconductor package addresses an important area of high-throughput genomic analysis. It calculates the chromosome instability (CIN) index, a novel measurement that quantitatively characterizes genome-wide copy number alterations (CNAs) as a measure of CIN. The advantage of this package is an ability to compare CIN index values between several groups for patients (case and control groups), which is a typical use case in translational research. The differentially changed cytobands or chromosomes can then be linked to genes located in the affected genomic regions, as well as pathways. This enables in-depth systems biology–based network analysis and assessment of the impact of CNA on various biological processes or clinical outcomes. This package was successfully applied to analysis of DNA copy number data in colorectal cancer as a part of multi-omics integrative study as well as for analysis of several other cancer types. The source code, along with an end-to-end tutorial, and example data are freely available in Bioconductor at http://bioconductor.org/packages/CINdex/. SAGE Publications 2017-12-13 /pmc/articles/PMC5761903/ /pubmed/29343938 http://dx.doi.org/10.1177/1176935117746637 Text en © The Author(s) 2017 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Methodology Song, Lei Bhuvaneshwar, Krithika Wang, Yue Feng, Yuanjian Shih, Ie-Ming Madhavan, Subha Gusev, Yuriy CINdex: A Bioconductor Package for Analysis of Chromosome Instability in DNA Copy Number Data |
title | CINdex: A Bioconductor Package for Analysis of Chromosome Instability in DNA Copy Number Data |
title_full | CINdex: A Bioconductor Package for Analysis of Chromosome Instability in DNA Copy Number Data |
title_fullStr | CINdex: A Bioconductor Package for Analysis of Chromosome Instability in DNA Copy Number Data |
title_full_unstemmed | CINdex: A Bioconductor Package for Analysis of Chromosome Instability in DNA Copy Number Data |
title_short | CINdex: A Bioconductor Package for Analysis of Chromosome Instability in DNA Copy Number Data |
title_sort | cindex: a bioconductor package for analysis of chromosome instability in dna copy number data |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5761903/ https://www.ncbi.nlm.nih.gov/pubmed/29343938 http://dx.doi.org/10.1177/1176935117746637 |
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