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.

Links