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Bayesian estimation of Antigen-driven SELectIoN BASELINe

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.

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BASELINe forum

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BASELINe versioning

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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

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BASELINe forum

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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 <>
  • Steven Kleinstein <>

Credits

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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

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