This site is under development. For the current active site, go to bcbhub.csic.es.

Tool

RSeqFlow

A comprehensive R pipeline for processing RNA-Seq datasets from count files (or tables) in non-model organisms comprising:

  1. Read/construct a count table from RNA-seq mappings
  2. Quality control and gene filtering
  3. Normalisation and biologically relevant differential expression
  4. Correlation analyses for clustering
  5. Co-expression networks, including hubs and subgraphs
  6. Profiling outstanding genes.

Basic Information

Repository https://github.com/mgclaros/RSeqFlow
Documentation https://github.com/mgclaros/RSeqFlow/blob/main/README.md
Seminar Gonzalo Claros presents the tool RSeqFlow
Main publication (DOI) 10.3390/plants12162894 view
Contact email claros@uma.es
Authors/Maintainers M. Gonzalo Claros Díaz
Type of application R/python package
Programming languages RBASH / Shell
Keywords Omics, Computational Methods, Resources, Transcriptomics, RNA Sequencing (RNA-seq), Data Analysis, Bioinformatics Software and Tools, Analysis packages (R, Python, etc.), Applications of Computational Biology, Expression Profiling, Plant genomics

Technical details

Input file formats csv, tsv
Output file formats tsv, html
Software compatibility Linux, Mac, Windows
Hardware requirements Nothing special
Type of containerization None
Wrapper type None
Compatible tools
Funding resource National competitive funding, Regional/local competitive funding
Funding support
Statistics
Unique users (last 12 months)
Unique users (since first release)
Software downloads (last 12 months)
Software downloads (since first release)
Jobs submitted (last 12 months)
Jobs submitted (since first release)
Repository clones (last 12 months)
Repository clones (since first release)
Citations (last 12 months) <100 (~1 as of 15/10/2026)
Citations (since first release) <100 (5 as of 15/10/2026)
Early-stage researcher effort (development)
Early-stage researcher effort (maintenance)
Technician-supported effort (development)
Technician-supported effort (maintenance)
Other effort (development)
Other effort (maintenance)
Total effort (development)
Total effort (maintenance)

Suggest changes

Spotted something outdated or wrong here? Let us know below and we'll take care of it.

← Return to Home