tspex
tspex computes tissue-specificity metrics from gene and transcript expression data to identify tissue-specific genes and transcripts.
Key Features:
- Comprehensive metrics: Computes a wide array of tissue-specificity metrics for comparative analysis across tissues.
- Gene and transcript-level analysis: Operates on both gene and transcript expression data to assess tissue specificity at multiple levels.
- Identification of tissue-specific entities: Identifies genes or transcripts with tissue-restricted expression patterns.
- Visualization functions: Includes functions to visualize and inspect tissue-specificity results.
Scientific Applications:
- Tissue expression profiling: Characterizes gene and transcript expression patterns across different tissues to reveal tissue specialization.
- Disease mechanism analysis: Supports investigation of diseases in which tissue-specific expression contributes to pathology.
- Evolutionary biology: Enables exploration of evolutionary questions related to gene function diversification and tissue-specific expression.
Methodology:
Processes gene and transcript expression data to compute various tissue-specificity metrics that quantify how specific a gene's or transcript's expression is to particular tissues.
Topics
Details
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 3/5/2021
Operations
Publications
Camargo AP, Vasconcelos AA, Fiamenghi MB, Pereira GAG, Carazzolle MF. tspex: a tissue-specificity calculator for gene expression data. Unknown Journal. 2020. doi:10.21203/rs.3.rs-51998/v1.