Comparison of genomic data via statistical distribution.

ABSTRACT: Sequence comparison has become an essential tool in bioinformatics, because highly homologous sequences usually imply significant functional or structural similarity. Traditional sequence analysis techniques are based on preprocessing and alignment, which facilitate measuring and quantitative characterization of genetic differences, variability and complexity. However, recent developments of next generation and whole genome sequencing technologies give rise to new challenges that are related to measuring similarity and capturing rearrangements of large segments contained in the genome. This work is devoted to illustrating different methods recently introduced for quantifying sequence distances and variability. Most of the alignment-free methods rely on counting words, which are small conti

SUBMITTER: Amiri S 

PROVIDER: S-EPMC5361063 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature