FungiExpresZ: an intuitive package for fungal gene expression data analysis, visualization and discovery

Brief Bioinform. 2023 Mar 19;24(2):bbad051. doi: 10.1093/bib/bbad051.

Abstract

Bioinformatics analysis and visualization of high-throughput gene expression data require extensive computer programming skills, posing a bottleneck for many wet-lab scientists. In this work, we present an intuitive user-friendly platform for gene expression data analysis and visualization called FungiExpresZ. FungiExpresZ aims to help wet-lab scientists with little to no knowledge of computer programming to become self-reliant in bioinformatics analysis and generating publication-ready figures. The platform contains many commonly used data analysis tools and an extensive collection of pre-processed public ribonucleic acid sequencing (RNA-seq) datasets of many fungal species, including important human, plant and insect pathogens. Users may analyse their data alone or in combination with public RNA-seq data for an integrated analysis. The FungiExpresZ platform helps wet-lab scientists to overcome their limitations in genomics data analysis and can be applied to analyse data of any organism. FungiExpresZ is available as an online web-based tool (https://cparsania.shinyapps.io/FungiExpresZ/) and an offline R-Shiny package (https://github.com/cparsania/FungiExpresZ).

Keywords: FungiExpresZ; RNA-seq database; bioinformatics tool; data analysis; data visualization; fungi.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Data Analysis
  • Gene Expression
  • Gene Expression Profiling
  • Genomics*
  • Humans
  • RNA / genetics
  • Software*

Substances

  • RNA