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A benchmark of gene expression tissue-specificity metrics
One of the major properties of genes is their expression pattern. Notably, genes are often classified as tissue specific or housekeeping. This property is of interest to molecular evolution as an explanatory factor of, e.g. evolutionary rate, as well as a functional feature which may in itself evolv...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444245/ https://www.ncbi.nlm.nih.gov/pubmed/26891983 http://dx.doi.org/10.1093/bib/bbw008 |
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author | Kryuchkova-Mostacci, Nadezda Robinson-Rechavi, Marc |
author_facet | Kryuchkova-Mostacci, Nadezda Robinson-Rechavi, Marc |
author_sort | Kryuchkova-Mostacci, Nadezda |
collection | PubMed |
description | One of the major properties of genes is their expression pattern. Notably, genes are often classified as tissue specific or housekeeping. This property is of interest to molecular evolution as an explanatory factor of, e.g. evolutionary rate, as well as a functional feature which may in itself evolve. While many different methods of measuring tissue specificity have been proposed and used for such studies, there has been no comparison or benchmarking of these methods to our knowledge, and little justification of their use. In this study, we compare nine measures of tissue specificity. Most methods were established for ESTs and microarrays, and several were later adapted to RNA-seq. We analyse their capacity to distinguish gene categories, their robustness to the choice and number of tissues used and their capture of evolutionary conservation signal. |
format | Online Article Text |
id | pubmed-5444245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-54442452017-05-31 A benchmark of gene expression tissue-specificity metrics Kryuchkova-Mostacci, Nadezda Robinson-Rechavi, Marc Brief Bioinform Papers One of the major properties of genes is their expression pattern. Notably, genes are often classified as tissue specific or housekeeping. This property is of interest to molecular evolution as an explanatory factor of, e.g. evolutionary rate, as well as a functional feature which may in itself evolve. While many different methods of measuring tissue specificity have been proposed and used for such studies, there has been no comparison or benchmarking of these methods to our knowledge, and little justification of their use. In this study, we compare nine measures of tissue specificity. Most methods were established for ESTs and microarrays, and several were later adapted to RNA-seq. We analyse their capacity to distinguish gene categories, their robustness to the choice and number of tissues used and their capture of evolutionary conservation signal. Oxford University Press 2017-03 2016-02-18 /pmc/articles/PMC5444245/ /pubmed/26891983 http://dx.doi.org/10.1093/bib/bbw008 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Papers Kryuchkova-Mostacci, Nadezda Robinson-Rechavi, Marc A benchmark of gene expression tissue-specificity metrics |
title | A benchmark of gene expression tissue-specificity metrics |
title_full | A benchmark of gene expression tissue-specificity metrics |
title_fullStr | A benchmark of gene expression tissue-specificity metrics |
title_full_unstemmed | A benchmark of gene expression tissue-specificity metrics |
title_short | A benchmark of gene expression tissue-specificity metrics |
title_sort | benchmark of gene expression tissue-specificity metrics |
topic | Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444245/ https://www.ncbi.nlm.nih.gov/pubmed/26891983 http://dx.doi.org/10.1093/bib/bbw008 |
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