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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...

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Autores principales: Song, Lei, Bhuvaneshwar, Krithika, Wang, Yue, Feng, Yuanjian, Shih, Ie-Ming, Madhavan, Subha, Gusev, Yuriy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
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/.
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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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