ExpressAnalyst

ExpressAnalyst facilitates processing, annotation, and ortholog-based functional analysis of RNA-seq data to derive gene-level and cross-species biological insights across diverse eukaryotic species.


Key Features:

  • Modular Workflow: Integrated modules perform processing and annotation of FASTQ files, statistical analyses, and functional assessments of count tables or gene lists.
  • EcoOmicsDB Integration: Uses the EcoOmicsDB ortholog database to enable ortholog-based analyses for species lacking reference transcriptomes.
  • Ultra-Fast Read Mapping Algorithms: Employs ultra-fast read mapping algorithms to generate global expression profiles and gene-level results from raw reads within 24 hours.
  • Non-model Species Support: Supports RNA-seq analysis across diverse eukaryotic organisms, including those without reference transcriptomes.

Scientific Applications:

  • Non-model organism transcriptomics: Analysis of RNA-seq datasets from non-model eukaryotes to identify differential expression and functional signatures.
  • Cross-species functional inference: Ortholog-based mapping via EcoOmicsDB to transfer annotation and infer gene function across species.
  • Salamander comparative studies: Comparative expression analysis of multiple non-model salamander species, including those without reference transcriptomes.

Methodology:

Processing and annotation of FASTQ files, ultra-fast read mapping algorithms coupled with the EcoOmicsDB ortholog database, followed by statistical analyses and functional assessments of count tables or gene lists.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
library, web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
12/20/2023
Last Updated:
12/20/2023

Operations

Publications

Liu P, Ewald J, Pang Z, Legrand E, Jeon YS, Sangiovanni J, Hacariz O, Zhou G, Head JA, Basu N, Xia J. ExpressAnalyst: A unified platform for RNA-sequencing analysis in non-model species. Nature Communications. 2023;14(1). doi:10.1038/s41467-023-38785-y. PMID:37225696. PMCID:PMC10209063.

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