Maptcha: an efficient parallel workflow for hybrid genome scaffolding.

ABSTRACT:

Background

Genome assembly, which involves reconstructing a target genome, relies on scaffolding methods to organize and link partially assembled fragments. The rapid evolution of long read sequencing technologies toward more accurate long reads, coupled with the continued use of short read technologies, has created a unique need for hybrid assembly workflows. The construction of accurate genomic scaffolds in hybrid workflows is complicated due to scale, sequencing technology diversity (e.g., short vs. long reads, contigs or partial assemblies), and repetitive regions within a target genome.

Results

In this paper, we present a new parallel workflow for hybrid genome scaffolding that would allow combining pre-constructed partial assemblies with newly sequenced long reads towa

SUBMITTER: Bhowmik O 

PROVIDER: S-EPMC11313021 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature