Graph Theory-Based Sequence Descriptors as Remote Homology Predictors.

ABSTRACT: Alignment-free (AF) methodologies have increased in popularity in the last decades as alternative tools to alignment-based (AB) algorithms for performing comparative sequence analyses. They have been especially useful to detect remote homologs within the twilight zone of highly diverse gene/protein families and superfamilies. The most popular alignment-free methodologies, as well as their applications to classification problems, have been described in previous reviews. Despite a new set of graph theory-derived sequence/structural descriptors that have been gaining relevance in the detection of remote homology, they have been omitted as AF predictors when the topic is addressed. Here, we first go over the most popular AF approaches used for detecting homology signals within the twilight zon

SUBMITTER: Aguero-Chapin G 

PROVIDER: S-EPMC7022958 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature