RummaGEO: Automatic mining of human and mouse gene sets from GEO

The Gene Expression Omnibus (GEO) has millions of samples from thousands of studies. While users of GEO can search the metadata describing studies, there is a need for methods to search GEO at the data level. RummaGEO is a gene expression signature search engine for human and mouse RNA sequencing perturbation studies extracted from GEO. To develop RummaGEO, we automatically identified groups of samples and computed differential expressions to extract gene sets from each study. The contents of RummaGEO are served for gene set, PubMed, and metadata search. Next, we analyzed the contents of RummaGEO to identify patterns and perform global analyses. Overall, RummaGEO provides a resource that is enabling users to identify relevant GEO studies based on their own gene expression results. Users of RummaGEO can incorporate RummaGEO into their analysis workflows for integrative analyses and hypothesis generation.

Authors

Institutions

Publication Details

Journal
Patterns
Published
2024-10-01
DOI
https://doi.org/10.1016/j.patter.2024.101072
Citations
12
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
2.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RummaGEO: Automatic mining of human and mouse gene sets from GEO

Alexander Lachmann, Giacomo B. Marino, Eden Z. Deng, Avi Ma’ayan et al.
12 citations
Patterns
Gene expression and cancer classification
2.81
article

RummaGEO: Automatic mining of human and mouse gene sets from GEO

Alexander Lachmann, Giacomo B. Marino, Eden Z. Deng, Avi Ma’ayan, Daniel Clarke
article en
12 citations

Abstract

The Gene Expression Omnibus (GEO) has millions of samples from thousands of studies. While users of GEO can search the metadata describing studies, there is a need for methods to search GEO at the data level. RummaGEO is a gene expression signature search engine for human and mouse RNA sequencing perturbation studies extracted from GEO. To develop RummaGEO, we automatically identified groups of samples and computed differential expressions to extract gene sets from each study. The contents of RummaGEO are served for gene set, PubMed, and metadata search. Next, we analyzed the contents of RummaGEO to identify patterns and perform global analyses. Overall, RummaGEO provides a resource that is enabling users to identify relevant GEO studies based on their own gene expression results. Users of RummaGEO can incorporate RummaGEO into their analysis workflows for integrative analyses and hypothesis generation.

PatternsVol. 5(10)
Icahn School of Medicine at Mount Sinai (US)
National Institutes of Health, NIH Office of the Director, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases
Openalex Percentile: Top 9%
Gene expression and cancer classification
2.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.