Literature DB >> 33672535

G2PMineR: A Genome to Phenome Literature Review Approach.

John M A Wojahn1, Stephanie J Galla1, Anthony E Melton1, Sven Buerki1.   

Abstract

There is a gap in the conceptual framework linking genes to phenotypes (G2P) for non-model organisms, as most non-model organisms do not yet have genomic resources readily available. To address this, researchers often perform literature reviews to understand G2P linkages by curating a list of likely gene candidates, hinging upon other studies already conducted in closely related systems. Sifting through hundreds to thousands of articles is a cumbersome task that slows down the scientific process and may introduce bias into a study. To fill this gap, we created G2PMineR, a free and open source literature mining tool developed specifically for G2P research. This R package uses automation to make the G2P review process efficient and unbiased, while also generating hypothesized associations between genes and phenotypes within a taxonomical framework. We applied the package to a literature review for drought-tolerance in plants. The analysis provides biologically meaningful results within the known framework of drought tolerance in plants. Overall, the package is useful for conducting literature reviews for genome to phenome projects, and also has broad appeal to scientists investigating a wide range of study systems as it can conduct analyses under the auspices of three different kingdoms (Plantae, Animalia, and Fungi).

Entities:  

Keywords:  G2P; genotype; literature mining; literature review; phenotype

Mesh:

Year:  2021        PMID: 33672535      PMCID: PMC7923769          DOI: 10.3390/genes12020293

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  21 in total

1.  PubMed Central: The GenBank of the published literature.

Authors:  R J Roberts
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-16       Impact factor: 11.205

Review 2.  The power and promise of population genomics: from genotyping to genome typing.

Authors:  Gordon Luikart; Phillip R England; David Tallmon; Steve Jordan; Pierre Taberlet
Journal:  Nat Rev Genet       Date:  2003-12       Impact factor: 53.242

Review 3.  Gene by environment interaction in asthma.

Authors:  Stephanie J London; Isabelle Romieu
Journal:  Annu Rev Public Health       Date:  2009       Impact factor: 21.981

4.  Commentary: What is the case for candidate gene approaches in the era of high-throughput genomics? A response to Border and Keller (2017).

Authors:  Sarah R Moore
Journal:  J Child Psychol Psychiatry       Date:  2017-03       Impact factor: 8.982

5.  Recommendations for Advancing Genome to Phenome Research in Non-Model Organisms.

Authors:  Karen G Burnett; David S Durica; Donald L Mykles; Jonathon H Stillman; Carl Schmidt
Journal:  Integr Comp Biol       Date:  2020-08-01       Impact factor: 3.326

6.  taxize: taxonomic search and retrieval in R.

Authors:  Scott A Chamberlain; Eduard Szöcs
Journal:  F1000Res       Date:  2013-09-18

7.  Scopus database: a review.

Authors:  Judy F Burnham
Journal:  Biomed Digit Libr       Date:  2006-03-08

Review 8.  Multilevel Regulation of Abiotic Stress Responses in Plants.

Authors:  David C Haak; Takeshi Fukao; Ruth Grene; Zhihua Hua; Rumen Ivanov; Giorgio Perrella; Song Li
Journal:  Front Plant Sci       Date:  2017-09-20       Impact factor: 5.753

Review 9.  Molecular bases of responses to abiotic stress in trees.

Authors:  Maximiliano Estravis-Barcala; María Gabriela Mattera; Carolina Soliani; Nicolás Bellora; Lars Opgenoorth; Katrin Heer; María Verónica Arana
Journal:  J Exp Bot       Date:  2020-06-26       Impact factor: 6.992

Review 10.  Candidate gene identification approach: progress and challenges.

Authors:  Mengjin Zhu; Shuhong Zhao
Journal:  Int J Biol Sci       Date:  2007-10-25       Impact factor: 6.580

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