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Colocalization analyses of genomic elements: approaches, recommendations and challenges
MOTIVATION: Many high-throughput methods produce sets of genomic regions as one of their main outputs. Scientists often use genomic colocalization analysis to interpret such region sets, for example to identify interesting enrichments and to understand the interplay between the underlying biological...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499241/ https://www.ncbi.nlm.nih.gov/pubmed/30307532 http://dx.doi.org/10.1093/bioinformatics/bty835 |
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author | Kanduri, Chakravarthi Bock, Christoph Gundersen, Sveinung Hovig, Eivind Sandve, Geir Kjetil |
author_facet | Kanduri, Chakravarthi Bock, Christoph Gundersen, Sveinung Hovig, Eivind Sandve, Geir Kjetil |
author_sort | Kanduri, Chakravarthi |
collection | PubMed |
description | MOTIVATION: Many high-throughput methods produce sets of genomic regions as one of their main outputs. Scientists often use genomic colocalization analysis to interpret such region sets, for example to identify interesting enrichments and to understand the interplay between the underlying biological processes. Although widely used, there is little standardization in how these analyses are performed. Different practices can substantially affect the conclusions of colocalization analyses. RESULTS: Here, we describe the different approaches and provide recommendations for performing genomic colocalization analysis, while also discussing common methodological challenges that may influence the conclusions. As illustrated by concrete example cases, careful attention to analysis details is needed in order to meet these challenges and to obtain a robust and biologically meaningful interpretation of genomic region set data. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6499241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64992412019-05-07 Colocalization analyses of genomic elements: approaches, recommendations and challenges Kanduri, Chakravarthi Bock, Christoph Gundersen, Sveinung Hovig, Eivind Sandve, Geir Kjetil Bioinformatics Review MOTIVATION: Many high-throughput methods produce sets of genomic regions as one of their main outputs. Scientists often use genomic colocalization analysis to interpret such region sets, for example to identify interesting enrichments and to understand the interplay between the underlying biological processes. Although widely used, there is little standardization in how these analyses are performed. Different practices can substantially affect the conclusions of colocalization analyses. RESULTS: Here, we describe the different approaches and provide recommendations for performing genomic colocalization analysis, while also discussing common methodological challenges that may influence the conclusions. As illustrated by concrete example cases, careful attention to analysis details is needed in order to meet these challenges and to obtain a robust and biologically meaningful interpretation of genomic region set data. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-05-01 2018-10-11 /pmc/articles/PMC6499241/ /pubmed/30307532 http://dx.doi.org/10.1093/bioinformatics/bty835 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Review Kanduri, Chakravarthi Bock, Christoph Gundersen, Sveinung Hovig, Eivind Sandve, Geir Kjetil Colocalization analyses of genomic elements: approaches, recommendations and challenges |
title | Colocalization analyses of genomic elements: approaches, recommendations and challenges |
title_full | Colocalization analyses of genomic elements: approaches, recommendations and challenges |
title_fullStr | Colocalization analyses of genomic elements: approaches, recommendations and challenges |
title_full_unstemmed | Colocalization analyses of genomic elements: approaches, recommendations and challenges |
title_short | Colocalization analyses of genomic elements: approaches, recommendations and challenges |
title_sort | colocalization analyses of genomic elements: approaches, recommendations and challenges |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499241/ https://www.ncbi.nlm.nih.gov/pubmed/30307532 http://dx.doi.org/10.1093/bioinformatics/bty835 |
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