Non-parametric and semi-parametric support estimation using SEquential RESampling random walks on biomolecular sequences.

ABSTRACT: Non-parametric and semi-parametric resampling procedures are widely used to perform support estimation in computational biology and bioinformatics. Among the most widely used methods in this class is the standard bootstrap method, which consists of random sampling with replacement. While not requiring assumptions about any particular parametric model for resampling purposes, the bootstrap and related techniques assume that sites are independent and identically distributed (i.i.d.). The i.i.d. assumption can be an over-simplification for many problems in computational biology and bioinformatics. In particular, sequential dependence within biomolecular sequences is often an essential biological feature due to biochemical function, evolutionary processes such as recombination, and other facto

SUBMITTER: Wang W 

PROVIDER: S-EPMC7164268 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature