CoRMAP

CoRMAP performs standardized meta-analysis of RNA-Seq gene expression datasets to enable cross-species comparative transcriptomic studies using de novo assembly and orthogroup assignments.


Key Features:

  • Standardized Analysis Framework: Provides a framework that applies de novo assembly and standardized gene expression tools to ensure consistency and comparability across datasets.
  • Orthogroup Assignments: Implements OrthoMCL to assign orthologous groups for accurate cross-species gene expression comparisons.
  • Reference Genome Independence: Operates without reliance on reference genomes, enabling analyses across diverse and divergent taxonomic groups.
  • Comparative Analysis Capability: Retrieves and compares gene expression levels from published RNA-Seq datasets to support large-scale comparative studies of transcriptional processes.

Scientific Applications:

  • Cross-species transcriptomics: Comparative analysis of gene expression profiles across multiple species using orthogroup-based comparisons.
  • Meta-analysis of RNA-Seq data: Harmonization and meta-analysis of datasets from different tissues, experimental conditions, and sequencing technologies.
  • Method demonstration: Validation and demonstration using two mouse brain transcriptomes collected at different times with varying sequencing technologies and analysis methods.

Methodology:

Extraction of RNA-Seq data, standardized de novo assembly of transcripts without reference genomes, orthogroup assignment using OrthoMCL, and application of standardized tools for expression analysis.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool, workflow
Operating Systems:
Linux
Programming Languages:
R, Shell, Bash
Added:
1/8/2023
Last Updated:
11/24/2024

Operations

Publications

Sheng Y, Ali RA, Heyland A. Comparative transcriptomics analysis pipeline for the meta-analysis of phylogenetically divergent datasets (CoRMAP). BMC Bioinformatics. 2022;23(1). doi:10.1186/s12859-022-04972-9. PMID:36207678. PMCID:PMC9547434.

PMID: 36207678
PMCID: PMC9547434
Funding: - Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada: 400230, 400808

Documentation