Evidence map›Paper›PMID 38808672›Full record

ArticleNucleic acids research2024

WebGestalt 2024: faster gene set analysis and new support for metabolomics and multi-omics.

John M Elizarraras, Yuxing Liao, Zhiao Shi, Qian Zhu, Alexander R Pico, Bing Zhang

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 275 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
275citing papers in PubMed, 1 pooled it
–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

275 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Genes & diseases · 2026
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215 more citing papers are in PubMed but not listed here.

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.

John M ElizarrarasLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA.
Yuxing LiaoLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-1238-2021
Zhiao ShiLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA.
Qian ZhuLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA.
Alexander R PicoInstitute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158, USA.
Bing ZhangLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0001-8676-2425

Funding

Translating Pediatric Cancer Proteogenomic Data into Biological and Clinical InsightsU24CA271076 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Bing Zhang · 2022 to 2026
$5.0M
NCI NIH HHS U24 CA271076NIH HHSRobert and Janice McNair Foundation
6 · The paper itself

Abstract

Enrichment analysis, crucial for interpreting genomic, transcriptomic, and proteomic data, is expanding into metabolomics. Furthermore, there is a rising demand for integrated enrichment analysis that combines data from different studies and omics platforms, as seen in meta-analysis and multi-omics research. To address these growing needs, we have updated WebGestalt to include enrichment analysis capabilities for both metabolites and multiple input lists of analytes. We have also significantly increased analysis speed, revamped the user interface, and introduced new pathway visualizations to accommodate these updates. Notably, the adoption of a Rust backend reduced gene set enrichment analysis time by 95% from 270.64 to 12.41 s and network topology-based analysis by 89% from 159.59 to 17.31 s in our evaluation. This performance improvement is also accessible in both the R package and a newly introduced Python package. Additionally, we have updated the data in the WebGestalt database to reflect the current status of each source and have expanded our collection of pathways, networks, and gene signatures. The 2024 WebGestalt update represents a significant leap forward, offering new support for metabolomics, streamlined multi-omics analysis capabilities, and remarkable performance enhancements. Discover these updates and more at https://www.webgestalt.org.

Indexed as

MetabolomicsSoftwareGene Expression ProfilingGene Regulatory NetworksGenomicsHumansInternetMultiomicsProteomicsUser-Computer Interface

Identifiers

PMID38808672
PMCPMC11223849

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.