Sign in
BioinformaticsbioRxiv
Preprint

StrainSeeker: fast identification of bacterial strains from unassembled sequencing reads using user-provided guide trees.

Märt Roosaare, Mihkel Vaher, Lauris KaplinskiiD, Märt MölsiD, Reidar AndresoniD, Maarja Lepamets, Triinu Kõressaar, Paul Naaber, Siiri Kõljalg, Maido RemmiD

Abstract

BackgroundFast, accurate and high-throughput detection of bacteria is in great demand. The present work was conducted to investigate the possibility of identifying both known and unknown bacterial strains from unassembled next-generation sequencing reads using custom-made guide trees.\n\nResultsA program named StrainSeeker was developed that constructs a list of specific k-mers for each node of any given Newick-format tree and enables rapid identification of bacterial genomes within minutes. StrainSeeker has been tested and shown to successfully identify Escherichia coli strains from mixed samples in less than 5 minutes. StrainSeeker can also identify bacterial strains from highly diverse metagenomics samples. StrainSeeker is available at http://bioinfo.ut.ee/strainseeker.\n\nConclusionsOur novel approach can be useful for both clinical diagnostics and research laboratories because novel bacterial strains are constantly emerging and their fast and accurate detection is very important.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.