GENE-Counter

GENE-Counter analyzes RNA-Sequencing (RNA-Seq) data to identify differentially expressed genes across eukaryotic and prokaryotic organisms, including non-model organisms without a reference genome, using a Perl-based pipeline.


Key Features:

  • Alignment Flexibility: Supports CASHX, Bowtie, and BWA and can integrate any Sequence Alignment/Map (SAM)-compliant aligner.
  • Differential Gene Expression Analysis: Provides three statistical packages based on variations of the negative binomial distribution, with a default over-parameterized negative binomial test tailored for small sample sizes and high variability.
  • Gene Ontology Enrichment: Includes three methods for assessing enriched Gene Ontology (GO) terms.
  • Data Management: Stores results in a MySQL relational database.

Scientific Applications:

  • Arabidopsis thaliana defense response: Applied to next-generation RNA-Seq data from Arabidopsis thaliana to analyze defense-related differential expression.
  • Method validation: Demonstrated substantial overlap in results across the three statistical packages, supporting method concordance.

Methodology:

Alignment is performed with CASHX, Bowtie, BWA or any SAM-compliant program; differential expression is tested using three negative-binomial-based statistical packages with a default over-parameterized negative binomial test; Gene Ontology enrichment is assessed by three methods; and results are stored in a MySQL relational database.

Topics

Details

Maturity:
Mature
Tool Type:
workflow
Operating Systems:
Linux, Mac
Programming Languages:
Perl
Added:
1/13/2017
Last Updated:
11/25/2024

Operations

Publications

Cumbie JS, Kimbrel JA, Di Y, Schafer DW, Wilhelm LJ, Fox SE, Sullivan CM, Curzon AD, Carrington JC, Mockler TC, Chang JH. GENE-Counter: A Computational Pipeline for the Analysis of RNA-Seq Data for Gene Expression Differences. PLoS ONE. 2011;6(10):e25279. doi:10.1371/journal.pone.0025279. PMID:21998647. PMCID:PMC3188579.

Documentation