Facilitated sequence assembly using densely labeled optical DNA barcodes: A combinatorial auction approach
Artikel i vetenskaplig tidskrift, 2018

The output from whole genome sequencing is a set of contigs, i.e. short non-overlapping DNA sequences (sizes 1-100 kilobasepairs). Piecing the contigs together is an especially difficult task for previously unsequenced DNA, and may not be feasible due to factors such as the lack of sufficient coverage or larger repetitive regions which generate gaps in the final sequence. Here we propose a new method for scaffolding such contigs. The proposed method uses densely labeled optical DNA barcodes from competitive binding experiments as scaffolds. On these scaffolds we position theoretical barcodes which are calculated from the contig sequences. This allows us to construct longer DNA sequences from the contig sequences. This proof-of-principle study extends previous studies which use sparsely labeled DNA barcodes for scaffolding purposes. Our method applies a probabilistic approach that allows us to discard “foreign” contigs from mixed samples with contigs from different types of DNA. We satisfy the contig non-overlap constraint by formulating the contig placement challenge as a combinatorial auction problem. Our exact algorithm for solving this problem reduces computational costs compared to previous methods in the combinatorial auction field. We demonstrate the usefulness of the proposed scaffolding method both for synthetic contigs and for contigs obtained using Illumina sequencing for a mixed sample with plasmid and chromosomal DNA.

Författare

Albertas Dvirnas

Lunds universitet

C. Pichler

Lunds universitet

Callum L. Stewart

Lunds universitet

Mahmood Saair Quaderi

Lunds universitet

Chalmers, Biologi och bioteknik, Kemisk biologi

Lena Nyberg

Chalmers, Biologi och bioteknik, Kemisk biologi

Vilhelm Müller

Chalmers, Biologi och bioteknik, Kemisk biologi

Santosh Kumar Bikarolla

Chalmers, Biologi och bioteknik, Kemisk biologi

Erik Kristiansson

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

L. Sandegren

Uppsala universitet

Fredrik Westerlund

Chalmers, Biologi och bioteknik, Kemisk biologi

Tobias Ambjörnsson

Lunds universitet

PLoS ONE

1932-6203 (ISSN)

Vol. 13 3 e0193900

Ämneskategorier

Bioinformatik (beräkningsbiologi)

Bioinformatik och systembiologi

Genetik

DOI

10.1371/journal.pone.0193900