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.
Info

Members (researchers): M. Gonzalo Claros Díaz

Research Groups: Integrative Bioinformatics for Plant Stres (iBIP)

Contact Email: claros@uma.es

Tool Repository: https://github.com/mgclaros/RSeqFlow

Documentation: https://github.com/mgclaros/RSeqFlow/blob/main/README.md

Publications DOI: doi:10.3390/plants12162894.

Application domain:

Analysis packages (R, Python, etc.), Applications of Computational Biology, Bioinformatics Software and Tools, Data Analysis, Expression Profiling, Plant genomics, RNA Sequencing (RNA-seq), Transcriptomics

Technical details
Type of application
  • R/python package
Software compatibility
  • Linux
  • Mac
  • Windows
Hardware requirements
  • Nothing special
Programming language
  • BASH
  • R
Type of containerization
  • None
Wrapper type
  • None
Input file formats
  • csv
  • tsv
Output file formats
  • html
  • tsv
Compatibility with other tools