Distributed hybrid-indexing of compressed pan-genomes for scalable and fast sequence alignment.

ABSTRACT: Computational pan-genomics utilizes information from multiple individual genomes in large-scale comparative analysis. Genetic variation between case-controls, ethnic groups, or species can be discovered thoroughly using pan-genomes of such subpopulations. Whole-genome sequencing (WGS) data volumes are growing rapidly, making genomic data compression and indexing methods very important. Despite current space-efficient repetitive sequence compression and indexing methods, the deployed compression methods are often sequential, computationally time-consuming, and do not provide efficient sequence alignment performance on vast collections of genomes such as pan-genomes. For performing rapid analytics with the ever-growing genomics data, data compression and indexing methods have to exploit dist

SUBMITTER: Maarala AI 

PROVIDER: S-EPMC8330939 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature