Ontology highlight
ABSTRACT: Motivation
Next generation sequencing technologies have revolutionized our ability to rapidly and affordably generate vast quantities of sequence data. Once generated, raw sequences are assembled into contigs or scaffolds. However, these assemblies are mostly fragmented and inaccurate at the whole genome scale, largely due to the inability to integrate additional informative datasets (e.g. physical, optical and genetic maps). To address this problem, we developed a semi-automated software tool-Genome Puzzle Master (GPM)-that enables the integration of additional genomic signposts to edit and build 'new-gen-assemblies' that result in high-quality 'annotation-ready' pseudomolecules.Results
With GPM, loaded datasets can be connected to each other via their logical relationship
SUBMITTER: Zhang J
PROVIDER: S-EPMC5048067 | biostudies-literature | 2016 Oct
REPOSITORIES: biostudies-literature