Evidence map›Paper›PMID 42221860›Full record

ArticleFrontiers in bioinformatics2026

Using user-centered design to better understand challenges faced during genetic analyses by novice genomic researchers.

Harsh Vijaykumar Patel, Gail P Jarvik, Taryn O Hall, David L Veenstra, Serena Jinchen Xie, David R Crosslin

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2026. 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

6 authors.

Harsh Vijaykumar PatelUniversity of Washington, Seattle, WA, United States.
Gail P JarvikUniversity of Washington, Seattle, WA, United States.
Taryn O HallOptum Whole Health Solutions, Minneapolis, MN, United States.
David L VeenstraUniversity of Washington, Seattle, WA, United States.
Serena Jinchen XieUniversity of Washington, Seattle, WA, United States.
David R CrosslinBiomedical Informatics and Genomics, Tulane University, New Orleans, LA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lack of user-centered design principles in the current landscape of commonly-used bioinformatics software tools poses challenges for novice genomics researchers (NGRs) entering the modern genomics ecosystem. Comparing the usability of one analysis software to that of another is a non-trivial task and requires evaluation criteria that incorporates perspectives from both existing literature and a diverse, underrepresented user base of NGRs. To better characterize these barriers, we utilized a two-pronged approach consisting of a retrospective literature review of existing bioinformatics tools and prospective semi-structured interviews of the needs of NGRs. From both knowledge sources, the key findings that resulted in poor adoption and sustained use of most bioinformatics tools included: poor documentation, lack of readily-accessible informational content, challenges with installation and dependency coordination, and inconsistent error messages/progress indicators. Combining the results from the literature review and the insights gained by interviewing the NGRs, an evaluation rubric was created that can be utilized to grade existing and future bioinformatics tools. This rubric acts as a summary of key components needed for software tools to cater to the diverse needs of both NGRs and experienced users. Due to the rapidly evolving nature of genomics research, it becomes increasingly important to critically evaluate existing tools and develop new ones that will help build a strong foundation for future exploration.

Indexed as

computational biologygenomicsnovice researcherssoftware designuser-centered design

Identifiers

PMID42221860
PMCPMC13219011

What OpenQuestion holds

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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.