Evidence map›Paper›PMID 37070209›Full record

ArticleNucleic acids research2023

MyGeneset.info: an interactive and programmatic platform for community-curated and user-created collections of genes.

Ricardo Avila, Vincent Rubinetti, Xinghua Zhou, Dongbo Hu, Zhongchao Qian, Marco Alvarado Cano, Everaldo Rodolpho, Ginger Tsueng, Casey Greene, Chunlei Wu

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Ricardo AvilaDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0002-3482-1486
Vincent RubinettiDepartment of Biochemistry and Molecular Genetics, Center for Health AI, University of Colorado School of Medicine, Aurora, CO, USA.ORCID 0000-0002-4655-3773
Xinghua ZhouDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0002-9119-3906
Dongbo HuDepartment of Biochemistry and Molecular Genetics, Center for Health AI, University of Colorado School of Medicine, Aurora, CO, USA.ORCID 0000-0003-2606-3969
Zhongchao QianDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0001-8334-9467
Marco Alvarado CanoDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0001-6992-8390
Everaldo RodolphoDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0009-0002-8973-8126
Ginger TsuengDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0001-9536-9115
Casey GreeneDepartment of Biochemistry and Molecular Genetics, Center for Health AI, University of Colorado School of Medicine, Aurora, CO, USA.ORCID 0000-0001-8713-9213
Chunlei WuDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0002-2629-6124

Funding

BioGPS: Extensible Web 2.0 gene portal for structured and unstructured annotationR01GM083924 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI SU, ANDREW I, WU, CHUNLEI · 2008 to 2021
$5.6M
Novel computational strategies to deconvolute co-occurring conditions in Down syndromeR01HD109765 · NICHD · UNIVERSITY OF COLORADO DENVER · PI James Christopher Costello, Casey S Greene · 2022 to 2026
$4.1M
Network-based algorithms for target identification and drug repositioning from genetic associationsR01HG010067 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI GREENE, CASEY S · 2018 to 2022
$3.2M
Characterization of high-grade serous ovarian cancer subtypes via single-cell profilingR01CA237170 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DOHERTY, JENNIFER A., GREENE, CASEY S · 2019 to 2024
$3.0M
Expanding the landscape of Translator Knowledge Providers using BioThings SDK and SmartAPIOT2TR003445 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI WU, CHUNLEI · 2020 to 2024
$2.8M
NCATS NIH HHS OT2 TR003445NCI NIH HHS R01 CA237170NHGRI NIH HHS R01 HG010067NICHD NIH HHS R01 HD109765NIGMS NIH HHS R01 GM083924
6 · The paper itself

Abstract

Gene definitions and identifiers can be painful to manage-more so when trying to include gene function annotations as this can be highly context-dependent. Creating groups of genes or gene sets can help provide such context, but it compounds the issue as each gene within the gene set can map to multiple identifiers and have annotations derived from multiple sources. We developed MyGeneset.info to provide an API for integrated annotations for gene sets suitable for use in analytical pipelines or web servers. Leveraging our previous work with MyGene.info (a server that provides gene-centric annotations and identifiers), MyGeneset.info addresses the challenge of managing gene sets from multiple resources. With our API, users readily have read-only access to gene sets imported from commonly-used resources such as Wikipathways, CTD, Reactome, SMPDB, MSigDB, GO, and DO. In addition to supporting the access and reuse of approximately 180k gene sets from humans, common model organisms (mice, yeast, etc.), and less-common ones (e.g. black cottonwood tree), MyGeneset.info supports user-created gene sets, providing an important means for making gene sets more FAIR. User-created gene sets can serve as a way to store and manage collections for analysis or easy dissemination through a consistent API.

Indexed as

InternetSoftwareAnimalsHumansMiceMolecular Sequence AnnotationUser-Computer Interface

Identifiers

PMID37070209
PMCPMC10481249

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.