MutRank

MutRank performs mutual rank (MR)-based coexpression analyses to identify coexpressed transcripts and predict functional associations in plant biology.


Key Features:

  • Mutual Rank (MR)-Based Coexpression Analysis: Implements MR metrics to identify and quantify pairwise coexpression relationships among transcripts for functional association prediction.
  • Exploratory and Targeted Analyses: Supports both unbiased exploratory MR analyses and hypothesis-driven targeted MR analyses of specified gene sets.
  • Integration of Supporting Information: Incorporates user-provided supporting information to refine coexpression analyses and prioritize candidate genes.
  • Pathway and Enzyme Prioritization: Uses MR-derived coexpression patterns to predict functional associations and narrow candidate pathway enzymes in biosynthetic and specialized metabolic pathways.
  • Result Formats: Produces tabular and graphical coexpression results for downstream interpretation and analysis.

Scientific Applications:

  • Gene function prediction: Rapidly identifies highly coexpressed transcripts to inform predictions of gene function and functional associations.
  • Pathway discovery: Facilitates discovery and definition of biosynthetic and specialized metabolic pathways, including maize terpenoid antibiotic pathways.
  • Candidate gene prioritization: Narrows candidate genes for biochemical pathway characterization and enzyme identification based on coexpression evidence.

Methodology:

Computes mutual rank (MR)-based coexpression metrics from expression data and integrates user-provided supporting information for exploratory and targeted analyses.

Topics

Details

Tool Type:
command-line tool, desktop application
Programming Languages:
R
Added:
1/18/2021
Last Updated:
3/2/2021

Operations

Publications

Poretsky E, Huffaker A. MutRank: an R shiny web-application for exploratory targeted mutual rank-based coexpression analyses integrated with user-provided supporting information. PeerJ. 2020;8:e10264. doi:10.7717/peerj.10264. PMID:33240618. PMCID:PMC7659623.

PMID: 33240618
PMCID: PMC7659623
Funding: - NSF-IOS PBI CAREER: #1943591 - USDA NIFA AFRI: #2018-67013-28125