eVITTA
eVITTA provides visualization and inference for transcriptome analysis, enabling retrieval, comparative analysis, and functional profiling of gene expression datasets.
Key Features:
- Integration with NCBI GEO: easyGEO enables systematic retrieval and exploration of studies stored in the National Center for Biotechnology Information's Gene Expression Omnibus (NCBI GEO).
- Functional profiling (easyGSEA): easyGSEA performs molecular- and systems-level functional profiling to identify biological processes and pathways associated with gene expression changes.
- Customizable comparisons (easyVizR): easyVizR supports customizable comparisons among experimental groups to visualize differences and similarities across datasets.
- Species support: Analyses encompass human and model organisms.
Scientific Applications:
- SARS-CoV-2 transcriptome analysis: Applied to human nasopharyngeal swab samples to identify downregulation of olfactory signal transducers consistent with anosmia in COVID-19 patients.
- Caenorhabditis elegans metabolism study: Used to analyze worms with disrupted S-adenosylmethionine metabolism, confirming activation of innate immune responses and feedback induction of one-carbon cycle genes.
- Gene regulation in development and disease: Facilitates functional characterization of gene regulation changes across developmental and disease contexts.
Methodology:
Integrates data from NCBI GEO and applies modules easyGEO for dataset retrieval, easyGSEA for molecular- and systems-level functional profiling, and easyVizR for customizable inter-group comparisons.
Topics
Details
- License:
- GPL-2.0
- Tool Type:
- web application, workflow
- Programming Languages:
- R
- Added:
- 9/8/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Cheng X, Yan J, Liu Y, Wang J, Taubert S. eVITTA: a web-based visualization and inference toolbox for transcriptome analysis. Nucleic Acids Research. 2021;49(W1):W207-W215. doi:10.1093/nar/gkab366. PMID:34019643. PMCID:PMC8218201.
DOI: 10.1093/nar/gkab366
PMID: 34019643
PMCID: PMC8218201
Funding: - Canadian Institutes of Health Research: PJT-153199, PJT-165988
- Natural Sciences and Engineering Research Council of Canada: RGPIN-2018-05133
- Cancer Research Society: 22727
Links
Repository
https://github.com/easygsea/eVITTA.git