Gene annotation bias impedes biomedical research

Autor:	Purvesh Khatri, Aurelie Tomczak, Winston A. Haynes
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	0301 basic medicine Biomedical Research Computer science MEDLINE lcsh:Medicine Computational biology Biology Article 03 medical and health sciences 0302 clinical medicine Protein Annotation Bias Humans lcsh:Science Gene 030304 developmental biology 0303 health sciences Focus (computing) Multidisciplinary Information retrieval Extramural lcsh:R Computational Biology Molecular Sequence Annotation Gene Annotation 030104 developmental biology lcsh:Q 030217 neurology & neurosurgery
Zdroj:	Scientific Reports, Vol 8, Iss 1, Pp 1-7 (2018) Scientific Reports
ISSN:	2045-2322
Popis:	1AbstractWe found tremendous inequality across gene and protein annotation resources. We observe that this bias leads biomedical researchers to focus on richly annotated genes instead of those with the strongest molecular data. We advocate for researchers to reduce these biases by pursuing data-driven hypotheses.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d1511fa7eaf9af5b4691e3f9c893668 http://link.springer.com/article/10.1038/s41598-018-19333-x Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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