Evidence map›Paper›PMID 38341658›Full record

ArticleBioinformatics (Oxford, England)2024

PipeVal: light-weight extensible tool for file validation.

Yash Patel, Arpi Beshlikyan, Madison Jordan, Gina Kim, Aaron Holmes, Takafumi N Yamaguchi, Paul C Boutros

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. NFTest: automated testing of Nextflow pipelines.Bioinformatics (Oxford, England) · 2024
    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

7 authors.

Yash PatelJonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90095, United States.ORCID 0000-0003-3113-7010
Arpi BeshlikyanJonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90095, United States.
Madison JordanJonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90095, United States.
Gina KimJonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90095, United States.
Aaron HolmesJonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90095, United States.ORCID 0000-0002-1012-7879
Takafumi N YamaguchiJonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90095, United States.ORCID 0000-0003-1082-3871
Paul C BoutrosJonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90095, United States.ORCID 0000-0003-0553-7520

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
Tool Core- BoutrosU54HG012517 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUI, ALEX, PING, PEIPEI · 2022 to 2025
$10.6M
Advancing method benchmarking and data sharing through crowd-sourced competitions in cancer researchU24CA248265 · NCI · SAGE BIONETWORKS · PI BOUTROS, PAUL CHRISTOPHER, VARMA, SUSHEEL · 2020 to 2024
$4.1M
Virginia-UCLA-Toronto Biomarker Characterization CenterU2CCA271894 · NCI · OLD DOMINION UNIVERSITY · PI OLIVER John SEMMES · 2022 to 2026
$3.2M
NCI NIH HHS P30 CA016042NCI NIH HHS U24 CA248265NCI NIH HHS U2C CA271894NHGRI NIH HHS U54 HG012517NIH HHS P30CA016042
6 · The paper itself

Abstract

motivationThe volume of biomedical data generated each year is growing exponentially as high-throughput molecular, imaging and mHealth technologies expand. This rise in data volume has contributed to an increasing reliance on and demand for computational methods, and consequently to increased attention to software quality and data integrity.

resultsTo simplify data verification in diverse data-processing pipelines, we created PipeVal, a light-weight, easy-to-use, extensible tool for file validation. It is open-source, easy to integrate with complex workflows, and modularized for extensibility for new file formats. PipeVal can be rapidly inserted into existing methods and pipelines to automatically validate and verify inputs and outputs. This can reduce wasted compute time attributed to file corruption or invalid file paths, and significantly improve the quality of data-intensive software. AVAILABILITY AND IMPLEMENTATION: PipeVal is an open-source Python package under the GPLv2 license and it is freely available at https://github.com/uclahs-cds/package-PipeVal. The docker image is available at: https://github.com/uclahs-cds/package-PipeVal/pkgs/container/pipeval.

Indexed as

SoftwareWorkflow

Identifiers

PMID38341658
PMCPMC10893582

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.