De novo finished 2.8 Mbp Staphylococcus aureus genome assembly from 100 bp short and long range paired-end reads

D Hernandez, R Tewhey, JB Veyrieras… - …, 2014 - academic.oup.com
D Hernandez, R Tewhey, JB Veyrieras, L Farinelli, M Østerås, P Francois, J Schrenzel
Bioinformatics, 2014academic.oup.com
Motivation: Paired-end sequencing allows circumventing the shortness of the reads
produced by second generation sequencers and is essential for de novo assembly of
genomes. However, obtaining a finished genome from short reads is still an open challenge.
We present an algorithm that exploits the pairing information issued from inserts of
potentially any length. The method determines paths through an overlaps graph by using a
constrained search tree. We also present a method that automatically determines suited …
Abstract
Motivation: Paired-end sequencing allows circumventing the shortness of the reads produced by second generation sequencers and is essential for de novo assembly of genomes. However, obtaining a finished genome from short reads is still an open challenge. We present an algorithm that exploits the pairing information issued from inserts of potentially any length. The method determines paths through an overlaps graph by using a constrained search tree. We also present a method that automatically determines suited overlaps cutoffs according to the contextual coverage, reducing thus the need for manual parameterization. Finally, we introduce an interactive mode that allows querying an assembly at targeted regions.
Results: We assess our methods by assembling two Staphylococcus aureus strains that were sequenced on the Illumina platform. Using 100 bp paired-end reads and minimal manual curation, we produce a finished genome sequence for the previously undescribed isolate SGH-10-168.
Availability and implementation: The presented algorithms are implemented in the standalone Edena software, freely available under the General Public License (GPLv3) at www.genomic.ch/edena.php.
Contact:  david.hernandez@genomic.ch
Supplementary Information:  Supplementary data are available at Bioinformatics online.
Oxford University Press
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