Converting RNAseq reads from ANY species to functionally annotated count tables

Input: Raw RNAseq files (.fastq.gz)

Web-based processing (this site)
  • Data must be less than 30 GB
  • Register an account (free) and upload your data
Local processing (highly recommended)
  • Unlimited data size
  • Install the EOA local version in a docker and process your data locally.
  • Brief instructions here

Species with good reference transcriptomes

Ultra-fast pseudo-alignment based on Kallisto algorithm

Species without good reference transcriptomes

Ultra-fast translated alignment using Seq2Fun algorithm
  • Comprehensive coverage across ~30 taxonomy groups
  • Gene-level annotation based on ortholog searching

Output

  • Gene/transcript quantification table;
  • Gene/transcript annotation table;
    • Best hits
    • KEGG orthologs (KOs)
    • Gene ontologies (GOs)
  • Visualization of functional profiles
Upload the result tables to ExpressAnalyst for in-depth statistical and functional analysis