Gene annotation bias impedes biomedical research
Autor: | Purvesh Khatri, Aurelie Tomczak, Winston A. Haynes |
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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: | |
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