G2PMineR: A Genome to Phenome Literature Review Approach

John M.A. Wojahn; Stephanie Galla; Sven Buerki

G2PMineR: A Genome to Phenome Literature Review Approach

John M.A. Wojahn
, Stephanie Galla
, Sven Buerki

Biological Sciences

Boise State University

Research output: Contribution to conference › Presentation

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Abstract

In this research we aim to develop G2PMineR, a free and open-source R-package literature mining tool that uses C-style string manipulation techniques to facilitate establishing G2P hypotheses for non-model organisms. This approach allows processing tens of thousands of abstracts in a matter of hours. It is highly efficient and unbiased, empowering researchers to draw conclusions linking genes to phenotypes that they otherwise would have missed or not had the time to explore.

Original language	American English
State	Published - 4 Dec 2020
Event	Vertically Integrated Projects 2020 - Boise State University, Boise, United States Duration: 4 Dec 2020 → 4 Dec 2020

Conference

Conference	Vertically Integrated Projects 2020
Abbreviated title	VIP 2020
Country/Territory	United States
City	Boise
Period	4/12/20 → 4/12/20

Keywords

Genome 2 Phenome
biological and life sciences

Access to Document

https://scholarworks.boisestate.edu/vip_2020/2/

Cite this

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title = "G2PMineR: A Genome to Phenome Literature Review Approach",

abstract = " In this research we aim to develop G2PMineR, a free and open-source R-package literature mining tool that uses C-style string manipulation techniques to facilitate establishing G2P hypotheses for non-model organisms. This approach allows processing tens of thousands of abstracts in a matter of hours. It is highly efficient and unbiased, empowering researchers to draw conclusions linking genes to phenotypes that they otherwise would have missed or not had the time to explore.",

keywords = "Genome 2 Phenome, biological and life sciences",

author = "Wojahn, \{John M.A.\} and Stephanie Galla and Sven Buerki",

year = "2020",

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day = "4",

language = "American English",

note = "Vertically Integrated Projects 2020, VIP 2020 ; Conference date: 04-12-2020 Through 04-12-2020",

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TY - CONF

T1 - G2PMineR

T2 - Vertically Integrated Projects 2020

AU - Wojahn, John M.A.

AU - Galla, Stephanie

AU - Buerki, Sven

PY - 2020/12/4

Y1 - 2020/12/4

N2 - In this research we aim to develop G2PMineR, a free and open-source R-package literature mining tool that uses C-style string manipulation techniques to facilitate establishing G2P hypotheses for non-model organisms. This approach allows processing tens of thousands of abstracts in a matter of hours. It is highly efficient and unbiased, empowering researchers to draw conclusions linking genes to phenotypes that they otherwise would have missed or not had the time to explore.

AB - In this research we aim to develop G2PMineR, a free and open-source R-package literature mining tool that uses C-style string manipulation techniques to facilitate establishing G2P hypotheses for non-model organisms. This approach allows processing tens of thousands of abstracts in a matter of hours. It is highly efficient and unbiased, empowering researchers to draw conclusions linking genes to phenotypes that they otherwise would have missed or not had the time to explore.

KW - Genome 2 Phenome

KW - biological and life sciences

M3 - Presentation

Y2 - 4 December 2020 through 4 December 2020

ER -

G2PMineR: A Genome to Phenome Literature Review Approach

Abstract

Conference

Keywords

Access to Document

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Cite this