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GO annotation in InterPro: why stability does not indicate accuracy in a sea of changing annotations

The removal of annotation from biological databases is often perceived as an indicator of erroneous annotation. As a corollary, annotation stability is considered to be a measure of reliability. However, diverse data-driven events can affect the stability of annotations in both primary protein seque...

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Autores principales: Sangrador-Vegas, Amaia, Mitchell, Alex L., Chang, Hsin-Yu, Yong, Siew-Yit, Finn, Robert D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4799721/
https://www.ncbi.nlm.nih.gov/pubmed/26994912
http://dx.doi.org/10.1093/database/baw027
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author Sangrador-Vegas, Amaia
Mitchell, Alex L.
Chang, Hsin-Yu
Yong, Siew-Yit
Finn, Robert D.
author_facet Sangrador-Vegas, Amaia
Mitchell, Alex L.
Chang, Hsin-Yu
Yong, Siew-Yit
Finn, Robert D.
author_sort Sangrador-Vegas, Amaia
collection PubMed
description The removal of annotation from biological databases is often perceived as an indicator of erroneous annotation. As a corollary, annotation stability is considered to be a measure of reliability. However, diverse data-driven events can affect the stability of annotations in both primary protein sequence databases and the protein family databases that are built upon the sequence databases and used to help annotate them. Here, we describe some of these events and their consequences for the InterPro database, and demonstrate that annotation removal or reassignment is not always linked to incorrect annotation by the curator. Database URL: http://www.ebi.ac.uk/interpro
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spelling pubmed-47997212016-03-21 GO annotation in InterPro: why stability does not indicate accuracy in a sea of changing annotations Sangrador-Vegas, Amaia Mitchell, Alex L. Chang, Hsin-Yu Yong, Siew-Yit Finn, Robert D. Database (Oxford) Original Article The removal of annotation from biological databases is often perceived as an indicator of erroneous annotation. As a corollary, annotation stability is considered to be a measure of reliability. However, diverse data-driven events can affect the stability of annotations in both primary protein sequence databases and the protein family databases that are built upon the sequence databases and used to help annotate them. Here, we describe some of these events and their consequences for the InterPro database, and demonstrate that annotation removal or reassignment is not always linked to incorrect annotation by the curator. Database URL: http://www.ebi.ac.uk/interpro Oxford University Press 2016-03-19 /pmc/articles/PMC4799721/ /pubmed/26994912 http://dx.doi.org/10.1093/database/baw027 Text en © The Author(s) 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 Original Article
Sangrador-Vegas, Amaia
Mitchell, Alex L.
Chang, Hsin-Yu
Yong, Siew-Yit
Finn, Robert D.
GO annotation in InterPro: why stability does not indicate accuracy in a sea of changing annotations
title GO annotation in InterPro: why stability does not indicate accuracy in a sea of changing annotations
title_full GO annotation in InterPro: why stability does not indicate accuracy in a sea of changing annotations
title_fullStr GO annotation in InterPro: why stability does not indicate accuracy in a sea of changing annotations
title_full_unstemmed GO annotation in InterPro: why stability does not indicate accuracy in a sea of changing annotations
title_short GO annotation in InterPro: why stability does not indicate accuracy in a sea of changing annotations
title_sort go annotation in interpro: why stability does not indicate accuracy in a sea of changing annotations
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4799721/
https://www.ncbi.nlm.nih.gov/pubmed/26994912
http://dx.doi.org/10.1093/database/baw027
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