LEON-BIS: multiple alignment evaluation of sequence neighbours using a Bayesian inference system.

ABSTRACT:

Background

A standard procedure in many areas of bioinformatics is to use a multiple sequence alignment (MSA) as the basis for various types of homology-based inference. Applications include 3D structure modelling, protein functional annotation, prediction of molecular interactions, etc. These applications, however sophisticated, are generally highly sensitive to the alignment used, and neglecting non-homologous or uncertain regions in the alignment can lead to significant bias in the subsequent inferences.

Results

Here, we present a new method, LEON-BIS, which uses a robust Bayesian framework to estimate the homologous relations between sequences in a protein multiple alignment. Sequences are clustered into sub-families and relations are predicted at different levels, inclu

SUBMITTER: Vanhoutreve R 

PROVIDER: S-EPMC4936259 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature