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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...

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Detalles Bibliográficos
Autores principales: Kryuchkova-Mostacci, Nadezda, Robinson-Rechavi, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
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.
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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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