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© Research
Publication : Bioinformatics (Oxford, England)

Graph analysis of fragmented long-read bacterial genome assemblies

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Bioinformatics (Oxford, England) - 27 Mar 2019

Marijon P, Chikhi R, Varré JS

Link to Pubmed [PMID] – 30918948

Bioinformatics 2019 Mar;

MOTIVATION: Long-read genome assembly tools are expected to reconstruct bacterial genomes nearly perfectly, however they still produce fragmented assemblies in some cases. It would be beneficial to understand whether these cases are intrinsically impossible to resolve, or if assemblers are at fault, implying that genomes could be refined or even finished with little to no additional experimental cost.

RESULTS: We propose a set of computational techniques to assist inspection of fragmented bacterial genome assemblies, through careful analysis of assembly graphs. By finding paths of overlapping raw reads between pairs of contigs, we recover potential short-range connections between contigs that were lost during the assembly process. We show that our procedure recovers 45% of missing contig adjacencies in fragmented Canu assemblies, on samples from the NCTC bacterial sequencing project. We also observe that a simple procedure based on enumerating weighted Hamiltonian cycles can suggest likely contig orderings. In our tests, the correct contig order is ranked first in half of the cases and within the top-3 predictions in nearly all evaluated cases, providing a direction for finishing fragmented long-read assemblies.

AVAILABILITY: https://gitlab.inria.fr/pmarijon/knot.

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

https://www.ncbi.nlm.nih.gov/pubmed/30918948