Serveur d'exploration MERS

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

stringMLST: a fast k-mer based tool for multilocus sequence typing.

Identifieur interne : 000B08 ( Main/Exploration ); précédent : 000B07; suivant : 000B09

stringMLST: a fast k-mer based tool for multilocus sequence typing.

Auteurs : Anuj Gupta [États-Unis] ; I King Jordan [États-Unis] ; Lavanya Rishishwar [États-Unis]

Source :

RBID : pubmed:27605103

Descripteurs français

English descriptors

Abstract

Rapid and accurate identification of the sequence type (ST) of bacterial pathogens is critical for epidemiological surveillance and outbreak control. Cheaper and faster next-generation sequencing (NGS) technologies have taken preference over the traditional method of amplicon sequencing for multilocus sequence typing (MLST). But data generated by NGS platforms necessitate quality control, genome assembly and sequence similarity searching before an isolate's ST can be determined. These are computationally intensive and time consuming steps, which are not ideally suited for real-time molecular epidemiology. Here, we present stringMLST, an assembly- and alignment-free, lightweight, platform-independent program capable of rapidly typing bacterial isolates directly from raw sequence reads. The program implements a simple hash table data structure to find exact matches between short sequence strings (k-mers) and an MLST allele library. We show that stringMLST is more accurate, and order of magnitude faster, than its contemporary genome-based ST detection tools.

DOI: 10.1093/bioinformatics/btw586
PubMed: 27605103


Affiliations:


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


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">stringMLST: a fast k-mer based tool for multilocus sequence typing.</title>
<author>
<name sortKey="Gupta, Anuj" sort="Gupta, Anuj" uniqKey="Gupta A" first="Anuj" last="Gupta">Anuj Gupta</name>
<affiliation wicri:level="2">
<nlm:affiliation>School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Biology, Georgia Institute of Technology, Atlanta, GA 30332</wicri:regionArea>
<placeName>
<region type="state">Géorgie (États-Unis)</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Jordan, I King" sort="Jordan, I King" uniqKey="Jordan I" first="I King" last="Jordan">I King Jordan</name>
<affiliation wicri:level="2">
<nlm:affiliation>School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Biology, Georgia Institute of Technology, Atlanta, GA 30332</wicri:regionArea>
<placeName>
<region type="state">Géorgie (États-Unis)</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Rishishwar, Lavanya" sort="Rishishwar, Lavanya" uniqKey="Rishishwar L" first="Lavanya" last="Rishishwar">Lavanya Rishishwar</name>
<affiliation wicri:level="2">
<nlm:affiliation>School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Biology, Georgia Institute of Technology, Atlanta, GA 30332</wicri:regionArea>
<placeName>
<region type="state">Géorgie (États-Unis)</region>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2017">2017</date>
<idno type="RBID">pubmed:27605103</idno>
<idno type="pmid">27605103</idno>
<idno type="doi">10.1093/bioinformatics/btw586</idno>
<idno type="wicri:Area/PubMed/Corpus">000F71</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000F71</idno>
<idno type="wicri:Area/PubMed/Curation">000F71</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000F71</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000A50</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000A50</idno>
<idno type="wicri:Area/Ncbi/Merge">001774</idno>
<idno type="wicri:Area/Ncbi/Curation">001774</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">001774</idno>
<idno type="wicri:Area/Main/Merge">000B11</idno>
<idno type="wicri:Area/Main/Curation">000B08</idno>
<idno type="wicri:Area/Main/Exploration">000B08</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">stringMLST: a fast k-mer based tool for multilocus sequence typing.</title>
<author>
<name sortKey="Gupta, Anuj" sort="Gupta, Anuj" uniqKey="Gupta A" first="Anuj" last="Gupta">Anuj Gupta</name>
<affiliation wicri:level="2">
<nlm:affiliation>School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Biology, Georgia Institute of Technology, Atlanta, GA 30332</wicri:regionArea>
<placeName>
<region type="state">Géorgie (États-Unis)</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Jordan, I King" sort="Jordan, I King" uniqKey="Jordan I" first="I King" last="Jordan">I King Jordan</name>
<affiliation wicri:level="2">
<nlm:affiliation>School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Biology, Georgia Institute of Technology, Atlanta, GA 30332</wicri:regionArea>
<placeName>
<region type="state">Géorgie (États-Unis)</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Rishishwar, Lavanya" sort="Rishishwar, Lavanya" uniqKey="Rishishwar L" first="Lavanya" last="Rishishwar">Lavanya Rishishwar</name>
<affiliation wicri:level="2">
<nlm:affiliation>School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Biology, Georgia Institute of Technology, Atlanta, GA 30332</wicri:regionArea>
<placeName>
<region type="state">Géorgie (États-Unis)</region>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Bioinformatics (Oxford, England)</title>
<idno type="eISSN">1367-4811</idno>
<imprint>
<date when="2017" type="published">2017</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Bacteria (classification)</term>
<term>Bacteria (genetics)</term>
<term>Bacterial Typing Techniques (methods)</term>
<term>Campylobacter jejuni (classification)</term>
<term>Campylobacter jejuni (genetics)</term>
<term>Chlamydia trachomatis (classification)</term>
<term>Chlamydia trachomatis (genetics)</term>
<term>High-Throughput Nucleotide Sequencing (methods)</term>
<term>Multilocus Sequence Typing (methods)</term>
<term>Neisseria meningitidis (classification)</term>
<term>Neisseria meningitidis (genetics)</term>
<term>Sequence Analysis, DNA (methods)</term>
<term>Software</term>
<term>Streptococcus pneumoniae (classification)</term>
<term>Streptococcus pneumoniae (genetics)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Analyse de séquence d'ADN ()</term>
<term>Bactéries ()</term>
<term>Bactéries (génétique)</term>
<term>Campylobacter jejuni ()</term>
<term>Campylobacter jejuni (génétique)</term>
<term>Chlamydia trachomatis ()</term>
<term>Chlamydia trachomatis (génétique)</term>
<term>Logiciel</term>
<term>Neisseria meningitidis ()</term>
<term>Neisseria meningitidis (génétique)</term>
<term>Streptococcus pneumoniae ()</term>
<term>Streptococcus pneumoniae (génétique)</term>
<term>Séquençage nucléotidique à haut débit ()</term>
<term>Techniques de typage bactérien ()</term>
<term>Typage par séquençage multilocus ()</term>
</keywords>
<keywords scheme="MESH" qualifier="classification" xml:lang="en">
<term>Bacteria</term>
<term>Campylobacter jejuni</term>
<term>Chlamydia trachomatis</term>
<term>Neisseria meningitidis</term>
<term>Streptococcus pneumoniae</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en">
<term>Bacteria</term>
<term>Campylobacter jejuni</term>
<term>Chlamydia trachomatis</term>
<term>Neisseria meningitidis</term>
<term>Streptococcus pneumoniae</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr">
<term>Bactéries</term>
<term>Campylobacter jejuni</term>
<term>Chlamydia trachomatis</term>
<term>Neisseria meningitidis</term>
<term>Streptococcus pneumoniae</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Bacterial Typing Techniques</term>
<term>High-Throughput Nucleotide Sequencing</term>
<term>Multilocus Sequence Typing</term>
<term>Sequence Analysis, DNA</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Software</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Analyse de séquence d'ADN</term>
<term>Bactéries</term>
<term>Campylobacter jejuni</term>
<term>Chlamydia trachomatis</term>
<term>Logiciel</term>
<term>Neisseria meningitidis</term>
<term>Streptococcus pneumoniae</term>
<term>Séquençage nucléotidique à haut débit</term>
<term>Techniques de typage bactérien</term>
<term>Typage par séquençage multilocus</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Rapid and accurate identification of the sequence type (ST) of bacterial pathogens is critical for epidemiological surveillance and outbreak control. Cheaper and faster next-generation sequencing (NGS) technologies have taken preference over the traditional method of amplicon sequencing for multilocus sequence typing (MLST). But data generated by NGS platforms necessitate quality control, genome assembly and sequence similarity searching before an isolate's ST can be determined. These are computationally intensive and time consuming steps, which are not ideally suited for real-time molecular epidemiology. Here, we present stringMLST, an assembly- and alignment-free, lightweight, platform-independent program capable of rapidly typing bacterial isolates directly from raw sequence reads. The program implements a simple hash table data structure to find exact matches between short sequence strings (k-mers) and an MLST allele library. We show that stringMLST is more accurate, and order of magnitude faster, than its contemporary genome-based ST detection tools.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>États-Unis</li>
</country>
<region>
<li>Géorgie (États-Unis)</li>
</region>
</list>
<tree>
<country name="États-Unis">
<region name="Géorgie (États-Unis)">
<name sortKey="Gupta, Anuj" sort="Gupta, Anuj" uniqKey="Gupta A" first="Anuj" last="Gupta">Anuj Gupta</name>
</region>
<name sortKey="Jordan, I King" sort="Jordan, I King" uniqKey="Jordan I" first="I King" last="Jordan">I King Jordan</name>
<name sortKey="Rishishwar, Lavanya" sort="Rishishwar, Lavanya" uniqKey="Rishishwar L" first="Lavanya" last="Rishishwar">Lavanya Rishishwar</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/MersV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000B08 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000B08 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    MersV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:27605103
   |texte=   stringMLST: a fast k-mer based tool for multilocus sequence typing.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:27605103" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a MersV1 

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Mon Apr 20 23:26:43 2020. Site generation: Sat Mar 27 09:06:09 2021