Apr 12, 2016

Medical subject heading (MeSH) annotations illuminate maize genetics and evolution

BioRxiv : the Preprint Server for Biology
Timothy M Beissinger, G Morota

Abstract

In the modern era, high-density marker panels and/or whole-genome sequencing, coupled with advanced phenotyping pipelines and sophisticated statistical methods, have dramatically increased our ability to generate lists of candidate genes or regions that are putatively associated with phenotypes or processes of interest. However, the speed at with which we can validate genes, or even make reasonable biological interpretations about the principles underlying them, has not kept pace. A promising approach that runs parallel to explicitly validating individual genes is analyzing a set of genes together and assessing the biological similarities among them. This is often achieved via gene ontology (GO) analysis, a powerful tool that involves evaluating publicly available gene annotations. However, GO has limitations including its automated nature and sometimes-difficult interpretability. Here, we describe using Medical Subject Headings (MeSH terms) as an alternative tool for evaluating sets of genes to make biological interpretations and to generate hypotheses. MeSH terms are assigned to PubMed-indexed manuscripts by the National Library of Medicine, and can be mapped to directly genes to develop gene annotations. Once mapped, these t...Continue Reading

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Mentioned in this Paper

Biological Markers
Graphene
Genome
Genes
Research Subject
GORAB
Candidate Disease Gene
LUC7L3
Avian Crop
LUC7L3 gene

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