Instance-based error correction for short reads of disease-associated genes.

ABSTRACT:

Background

Genomic reads from sequencing platforms contain random errors. Global correction algorithms have been developed, aiming to rectify all possible errors in the reads using generic genome-wide patterns. However, the non-uniform sequencing depths hinder the global approach to conduct effective error removal. As some genes may get under-corrected or over-corrected by the global approach, we conduct instance-based error correction for short reads of disease-associated genes or pathways. The paramount requirement is to ensure the relevant reads, instead of the whole genome, are error-free to provide significant benefits for single-nucleotide polymorphism (SNP) or variant calling studies on the specific genes.

Results

To rectify possible errors in the short reads of disea

SUBMITTER: Zhang X 

PROVIDER: S-EPMC8170817 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature