Maptcha: an efficient parallel workflow for hybrid genome scaffolding

Oieswarya Bhowmik, Tazin Rahman, Ananth Kalyanaraman

Abstract: 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.

External IDs:dblp:journals/bmcbi/BhowmikRK24