Bayesian Estimation of Antigen-Driven Selection in Immunoglobulin Sequences
BASELINe, a new computational
framework for Bayesian estimation of Antigen-driven selection in Immunoglobulin
sequences, provides a more intuitive means of analyzing selection by actually
quantifying it.
Operating in log-odds ratio space, the approach also allows, for the first time, comparative analysis between groups of independent sequences. The results of the analysis are summarized in a table and various plots, all of which may be downloaded for further processing.
This website runs Baseline Version 1.3 (01/30/2014) . The source code can be downloaded here
Operating in log-odds ratio space, the approach also allows, for the first time, comparative analysis between groups of independent sequences. The results of the analysis are summarized in a table and various plots, all of which may be downloaded for further processing.
This website runs Baseline Version 1.3 (01/30/2014) . The source code can be downloaded here
| Use the R package SHazaM from the Immcantation suite for the most up-to-date tools for the advanced analysis of somatic hypermutation (SHM) and selection pressure in immunoglobulin (Ig) sequences. |