Evidence map›Paper›PMID 37401749›Full record

ArticleBiochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology

A data science practicum to introduce undergraduate students to bioinformatics for research.

Bjarne Bartlett, Monica Stitt-Bergh, Michael Kantar, Jon-Paul Bingham

Open access · hybridAbstract read
In one paragraph

Article in Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
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

4 authors at 1 institution in 1 country.

Bjarne BartlettDepartment of Molecular Biosciences and Bioengineering, The University of Hawaii at Manoa, Honolulu, Hawaii, USA.ORCID 0000-0001-8579-0379
Monica Stitt-BerghAssessment and Curriculum Support Center, The University of Hawaii at Manoa, Honolulu, Hawaii, USA.ORCID 0000-0003-4004-8001
Michael KantarDepartment of Tropical Plant and Soil Sciences, The University of Hawaii at Manoa, Honolulu, Hawaii, USA.ORCID 0000-0001-5542-0975
Jon-Paul BinghamDepartment of Molecular Biosciences and Bioengineering, The University of Hawaii at Manoa, Honolulu, Hawaii, USA.ORCID 0000-0001-6420-8634
University of Hawaiʻi at Mānoa · US

Funding

UH Hilo COP A&RP20GM103466 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI HELEN C TURNER · 2012 to 2026
$60.3M
NIGMS NIH HHS P20 GM103466
6 · The paper itself

Abstract

An explosion of data available in the life sciences has shifted the discipline toward genomics and quantitative data science research. Institutions of higher learning have been addressing this shift by modifying undergraduate curriculums resulting in an increasing number of bioinformatics courses and research opportunities for undergraduates. The goal of this study was to explore how a newly designed introductory bioinformatics seminar could leverage the combination of in-class instruction and independent research to build the practical skill sets of undergraduate students beginning their careers in the life sciences. Participants were surveyed to assess learning perceptions toward the dual curriculum. Most students had a neutral or positive interest in these topics before the seminar and reported increased interest after the seminar. Students had increases in confidence level in their bioinformatic proficiency and understanding of ethical principles for data/genomic science. By combining undergraduate research with directed bioinformatics skills, classroom seminars facilitated a connection between student's life sciences knowledge and emerging research tools in computational biology.

Indexed as

Computational BiologyData ScienceCurriculumGenomicsHumansStudentsbig databioinformaticscomputational biologydata science for undergraduatesdata science practicumindependent research

Identifiers

PMID37401749
PMCPMC10621008
OpenAlexW4383058931

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.