Main logo
tutorial arrow
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

RankProd | A bioconductor package for detecting differentially expressed genes in meta-analysis


Allows detection of differentially expressed features in molecular profiling experiments. RankProd is a non-parametric method that provides a robust and reliable implementation of the Rank Product (RP) methods. The software computes a user-defined number of random paired datasets and evaluates the RP or Rank Statistic (RS) per each of them. The method has also been integrated in the mzMatch pipeline.

User report

tutorial arrow
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

No review has been posted.

RankProd forum

tutorial arrow
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

RankProd classification

RankProd specifications

Unique identifier:
Software type:
Restrictions to use:
Programming languages:
stats, methods, Rmpfr, gmp
Alternative name:
RankProd 2.0
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:

RankProd distribution


tutorial arrow
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.


RankProd support



  • Rainer Breitling <>
  • Francesco Del Carratore <>
  • Andris Jankevics <>
  • Fangxin Hong <>
  • Ben Wittner <>


tutorial arrow
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship



Faculty of Science and Engineering, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK; Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK; Department of Social Science Research Methods, Radboud University Nijmegen, Nijmegen, Netherlands; Institute for Computing and Information Sciences, Radboud University Nijmegen, Nijmegen, Netherlands; Harvard School of Public Health, Dana-Farber Cancer Institute, Boston, MA, USA

Funding source(s)

Supported by the BBSRC [BB/M017702/1]; “Centre for synthetic biology of fine and speciality chemicals”.

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.