Evidence map›Paper›PMID 35622842›Full record

ArticlePloS one2022

Bruins-in-Genomics: Evaluation of the impact of a UCLA undergraduate summer program in computational biology on participating students.

Hilary A Coller, Stacey Beggs, Samantha Andrews, Jeff Maloy, Alec Chiu, Sriram Sankararaman, Matteo Pellegrini, Nelson Freimer, Tracy Johnson, Jeanette Papp and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Hilary A CollerDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, United States of America.ORCID 0000-0003-0992-6494
Stacey BeggsDepartment of Computational Medicine, David Geffen School of Medicine, Los Angeles, CA, United States of America.
Samantha AndrewsDepartment of Computational Medicine, David Geffen School of Medicine, Los Angeles, CA, United States of America.
Jeff MaloyDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, United States of America.
Alec ChiuBioinformatics Interdepartmental Program, University of California, Los Angeles, CA, United States of America.ORCID 0000-0002-1646-1149
Sriram SankararamanBioinformatics Interdepartmental Program, University of California, Los Angeles, CA, United States of America.
Matteo PellegriniDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, United States of America.ORCID 0000-0001-9355-9564
Nelson FreimerBioinformatics Interdepartmental Program, University of California, Los Angeles, CA, United States of America.
Tracy JohnsonDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, United States of America.
Jeanette PappDepartment of Genetics, David Geffen School of Medicine, Los Angeles, CA, United States of America.ORCID 0000-0001-9561-7860
Eleazar EskinBioinformatics Interdepartmental Program, University of California, Los Angeles, CA, United States of America.
Alexander HoffmannBioinformatics Interdepartmental Program, University of California, Los Angeles, CA, United States of America.

Funding

Undergraduate Research Experiences in Neurogenetics and NeurogenomicsR25NS115554 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ESKIN, ELEAZAR, OPHOFF, ROEL A · 2020 to 2024
$506k
Undergraduate Research Experience in Neuropsychiatric GenomicsR25MH109172 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ESKIN, ELEAZAR, FREIMER, NELSON B. · 2016 to 2020
$429k
NIMH NIH HHS R25 MH109172NINDS NIH HHS R25 NS115554
6 · The paper itself

Abstract

Recruiting, training and retaining scientists in computational biology is necessary to develop a workforce that can lead the quantitative biology revolution. Yet, African-American/Black, Hispanic/Latinx, Native Americans, and women are severely underrepresented in computational biosciences. We established the UCLA Bruins-in-Genomics Summer Research Program to provide training and research experiences in quantitative biology and bioinformatics to undergraduate students with an emphasis on students from backgrounds underrepresented in computational biology. Program assessment was based on number of applicants, alumni surveys and comparison of post-graduate educational choices for participants and a control group of students who were accepted but declined to participate. We hypothesized that participation in the Bruins-in-Genomics program would increase the likelihood that students would pursue post-graduate education in a related field. Our surveys revealed that 75% of Bruins-in-Genomics Summer participants were enrolled in graduate school. Logistic regression analysis revealed that women who participated in the program were significantly more likely to pursue a Ph.D. than a matched control group (group x woman interaction term of p = 0.005). The Bruins-in-Genomics Summer program represents an example of how a combined didactic-research program structure can make computational biology accessible to a wide range of undergraduates and increase participation in quantitative biosciences.

Indexed as

Computational BiologyStudentsFemaleGenomicsHumansProgram EvaluationWorkforce

Identifiers

PMID35622842
PMCPMC9140266

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.