GENI: A web server to identify gene set enrichments in tumor samples.
Comput Struct Biotechnol J
; 21: 5531-5537, 2023.
Article
in En
| MEDLINE
| ID: mdl-38034403
ABSTRACT
The Cancer Genome Atlas (TCGA) and analogous projects have yielded invaluable tumor-associated genomic data. Despite several web-based platforms designed to enhance accessibility, certain analyses require prior bioinformatic expertise. To address this need, we developed Gene ENrichment Identifier (GENI, https//www.shaullab.com/geni), which is designed to promptly compute correlations for genes of interest against the entire transcriptome and rank them against well-established biological gene sets. Additionally, it generates comprehensive tables containing genes of interest and their corresponding correlation coefficients, presented in publication-quality graphs. Furthermore, GENI has the capability to analyze multiple genes simultaneously within a given gene set, elucidating their significance within a specific biological context. Overall, GENI's user-friendly interface simplifies the biological interpretation and analysis of cancer patient-associated data, advancing the understanding of cancer biology and accelerating scientific discoveries.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Comput Struct Biotechnol J
Year:
2023
Type:
Article
Affiliation country:
Israel