Unknown

Dataset Information

A Comprehensive Study of De Novo Genome Assemblers: Current Challenges and Future Prospective.


ABSTRACT:

Background

Current advancements in next-generation sequencing technology have made possible to sequence whole genome but assembling a large number of short sequence reads is still a big challenge. In this article, we present the comparative study of seven assemblers, namely, ABySS, Velvet, Edena, SGA, Ray, SSAKE, and Perga, using prokaryotic and eukaryotic paired-end as well as single-end data sets from Illumina platform.

Results

Results showed that in case of single-end data sets, Velvet and ABySS outperformed in all the seven assemblers with comparatively low assembling time and high genome fraction. Velvet consumed the least amount of memory than any other assembler. In case of paired-end data sets, Velvet consumed least amount of time and produced high genome fraction af

SUBMITTER: Khan AR 

PROVIDER: S-EPMC5826002 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature