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


An algorithm that extend the univariate SLM to the multivariate case in order to detect recurrent shifts in the mean of multiple sequential processes. The resolution of JointSLM strictly depends on the signal to noise ratio (SNR) of the data: increasing the SNR of DOC data by reducing the sequencing error rate or augmenting the coverage of the sequencing experiments, will improve the performance of JointSLM in detecting small shifts in the signals. The JointSLM algorithm can be also used to analyse multiple tumour samples data for the discovery of recurrent copy number alterations.

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

0 user reviews

No review has been posted.

JointSLM 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.

JointSLM classification

JointSLM specifications

Software type:
Restrictions to use:
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Command line interface
Input format:
Programming languages:

JointSLM 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.


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



Laboratory Department, Diagnostic Genetic Unit, Careggi Hospital, Florence, Italy

Link to literature

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