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

Identifieur interne : 000B81 ( Main/Exploration ); précédent : 000B80; suivant : 000B82

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

Auteurs : M Rt Roosaare [Estonie] ; Mihkel Vaher [Estonie] ; Lauris Kaplinski [Estonie] ; M Rt Möls [Estonie] ; Reidar Andreson [Estonie] ; Maarja Lepamets [Estonie] ; Triinu K Ressaar [Estonie] ; Paul Naaber [Estonie] ; Siiri K Ljalg [Estonie] ; Maido Remm [Estonie]

Source :

RBID : PMC:5438578

Abstract

Background

Fast, accurate and high-throughput identification of bacterial isolates is in great demand. The present work was conducted to investigate the possibility of identifying isolates from unassembled next-generation sequencing reads using custom-made guide trees.

Results

A tool named StrainSeeker was developed that constructs a list of specific k-mers for each node of any given Newick-format tree and enables the identification of bacterial isolates in 1–2 min. It uses a novel algorithm, which analyses the observed and expected fractions of node-specific k-mers to test the presence of each node in the sample. This allows StrainSeeker to determine where the isolate branches off the guide tree and assign it to a clade whereas other tools assign each read to a reference genome. Using a dataset of 100 Escherichia coli isolates, we demonstrate that StrainSeeker can predict the clades of E. coli with 92% accuracy and correct tree branch assignment with 98% accuracy. Twenty-five thousand Illumina HiSeq reads are sufficient for identification of the strain.

Conclusion

StrainSeeker is a software program that identifies bacterial isolates by assigning them to nodes or leaves of a custom-made guide tree. StrainSeeker’s web interface and pre-computed guide trees are available at http://bioinfo.ut.ee/strainseeker. Source code is stored at GitHub: https://github.com/bioinfo-ut/StrainSeeker.


Url:
DOI: 10.7717/peerj.3353
PubMed: 28533988
PubMed Central: 5438578


Affiliations:


Links toward previous steps (curation, corpus...)


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<addr-line>Tartu</addr-line>
,
<country>Estonia</country>
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</nlm:aff>
<country xml:lang="fr">Estonie</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
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<addr-line>Tartu</addr-line>
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</nlm:aff>
<country xml:lang="fr">Estonie</country>
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<sec>
<title>Background</title>
<p>Fast, accurate and high-throughput identification of bacterial isolates is in great demand. The present work was conducted to investigate the possibility of identifying isolates from unassembled next-generation sequencing reads using custom-made guide trees.</p>
</sec>
<sec>
<title>Results</title>
<p>A tool named StrainSeeker was developed that constructs a list of specific
<italic>k</italic>
-mers for each node of any given Newick-format tree and enables the identification of bacterial isolates in 1–2 min. It uses a novel algorithm, which analyses the observed and expected fractions of node-specific
<italic>k</italic>
-mers to test the presence of each node in the sample. This allows StrainSeeker to determine where the isolate branches off the guide tree and assign it to a clade whereas other tools assign each read to a reference genome. Using a dataset of 100
<italic>Escherichia coli</italic>
isolates, we demonstrate that StrainSeeker can predict the clades of
<italic>E. coli</italic>
with 92% accuracy and correct tree branch assignment with 98% accuracy. Twenty-five thousand Illumina HiSeq reads are sufficient for identification of the strain.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>StrainSeeker is a software program that identifies bacterial isolates by assigning them to nodes or leaves of a custom-made guide tree. StrainSeeker’s web interface and pre-computed guide trees are available at
<uri xlink:href="http://bioinfo.ut.ee/strainseeker">http://bioinfo.ut.ee/strainseeker</uri>
. Source code is stored at GitHub:
<uri xlink:href="https://github.com/bioinfo-ut/StrainSeeker">https://github.com/bioinfo-ut/StrainSeeker</uri>
.</p>
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