Exploring Genome Characteristics and Sequence Quality Without a Reference
Jared T. Simpson

TL;DR
This paper introduces a new software tool for assessing the quality and characteristics of genome sequencing data without needing a reference genome, aiding de novo assembly processes.
Contribution
It presents novel methods for quality assessment and genome characteristic estimation directly from sequencing reads, improving de novo genome assembly workflows.
Findings
Calculates error rates and coverage metrics without a reference
Estimates genome repeat content and heterozygosity
Provides open-source software for genome analysis
Abstract
The de novo assembly of large, complex genomes is a significant challenge with currently available DNA sequencing technology. While many de novo assembly software packages are available, comparatively little attention has been paid to assisting the user with the assembly. This paper addresses the practical aspects of de novo assembly by introducing new ways to perform quality assessment on a collection of DNA sequence reads. The software implementation calculates per-base error rates, paired-end fragment size histograms and coverage metrics in the absence of a reference genome. Additionally, the software will estimate characteristics of the sequenced genome, such as repeat content and heterozygosity, that are key determinants of assembly difficulty. The software described is freely available and open source under the GNU Public License.
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Taxonomy
TopicsGenomics and Phylogenetic Studies · RNA and protein synthesis mechanisms · Chromosomal and Genetic Variations
