A computational framework for Bayesian estimation of antigen-driven selection in immunoglobulin sequences based on the analysis of somatic mutation patterns. BASELINe represents a fundamental advance over previous methods by shifting the problem from one of simply detecting selection to one of quantifying selection. Along with providing a more intuitive means to assess and visualize selection, BASELINe allows comparative analysis between groups of sequences derived from different germline V(D)J segments.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible

0 user reviews

0 user reviews

No review has been posted.

BASELINe forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.

No open topic.

BASELINe versioning

tutorial arrow
×
Upload and version your source code
Get your DOI for better tool traceability. Archive your releases so the community can easily visualize progress on you work.

No versioning.

BASELINe classification

BASELINe specifications

Software type:
Package/Module
Restrictions to use:
None
Computer skills:
Advanced
Stability:
Stable
Interface:
Command line interface
Operating system:
Unix/Linux
Version:
1.3
Maintained:
Yes

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible

0 user reviews

0 user reviews

No review has been posted.

BASELINe forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.

No open topic.

BASELINe classification

BASELINe specifications

Interface:
Web user interface
Computer skills:
Basic
Stability:
Stable
Restrictions to use:
None
Version:
1.3
Maintained:
Yes

BASELINe support

Maintainer

  • Steven Kleinstein < >

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.

Publications

Institution(s)

Department of Pathology, Yale University School of Medicine, New Haven, CT; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA

Funding source(s)

National Institutes of Health (NIH) [R03AI092379-01]; Yale University Biomedical High Performance Computing Center (NIH) [RR19895]

Link to literature

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