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Dataset Information

Discovery and genotyping of novel sequence insertions in many sequenced individuals.


ABSTRACT:

Motivation

Despite recent advances in algorithms design to characterize structural variation using high-throughput short read sequencing (HTS) data, characterization of novel sequence insertions longer than the average read length remains a challenging task. This is mainly due to both computational difficulties and the complexities imposed by genomic repeats in generating reliable assemblies to accurately detect both the sequence content and the exact location of such insertions. Additionally, de novo genome assembly algorithms typically require a very high depth of coverage, which may be a limiting factor for most genome studies. Therefore, characterization of novel sequence insertions is not a routine part of most sequencing projects.

Result

Here, we present Pamir, a new a

SUBMITTER: Kavak P 

PROVIDER: S-EPMC5870608 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature