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SpolPred: rapid and accurate prediction of Mycobacterium tuberculosis spoligotypes from short genomic sequences
Summary: Spoligotyping is a well-established genotyping technique based on the presence of unique DNA sequences in Mycobacterium tuberculosis (Mtb), the causal agent of tuberculosis disease (TB). Although advances in sequencing technologies are leading to whole-genome bacterial characterization, ten...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3496340/ https://www.ncbi.nlm.nih.gov/pubmed/23014632 http://dx.doi.org/10.1093/bioinformatics/bts544 |
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author | Coll, Francesc Mallard, Kim Preston, Mark D. Bentley, Stephen Parkhill, Julian McNerney, Ruth Martin, Nigel Clark, Taane G. |
author_facet | Coll, Francesc Mallard, Kim Preston, Mark D. Bentley, Stephen Parkhill, Julian McNerney, Ruth Martin, Nigel Clark, Taane G. |
author_sort | Coll, Francesc |
collection | PubMed |
description | Summary: Spoligotyping is a well-established genotyping technique based on the presence of unique DNA sequences in Mycobacterium tuberculosis (Mtb), the causal agent of tuberculosis disease (TB). Although advances in sequencing technologies are leading to whole-genome bacterial characterization, tens of thousands of isolates have been spoligotyped, giving a global view of Mtb strain diversity. To bridge the gap, we have developed SpolPred, a software to predict the spoligotype from raw sequence reads. Our approach is compared with experimentally and de novo assembly determined strain types in a set of 44 Mtb isolates. In silico and experimental results are identical for almost all isolates (39/44). However, SpolPred detected five experimentally false spoligotypes and was more accurate and faster than the assembling strategy. Application of SpolPred to an additional seven isolates with no laboratory data led to types that clustered with identical experimental types in a phylogenetic analysis using single-nucleotide polymorphisms. Our results demonstrate the usefulness of the tool and its role in revealing experimental limitations. Availability and implementation: SpolPred is written in C and is available from www.pathogenseq.org/spolpred. Contact: francesc.coll@lshtm.ac.uk Supplementary information: Supplementary data are available at Bioinformatics Online. |
format | Online Article Text |
id | pubmed-3496340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-34963402012-12-12 SpolPred: rapid and accurate prediction of Mycobacterium tuberculosis spoligotypes from short genomic sequences Coll, Francesc Mallard, Kim Preston, Mark D. Bentley, Stephen Parkhill, Julian McNerney, Ruth Martin, Nigel Clark, Taane G. Bioinformatics Applications Note Summary: Spoligotyping is a well-established genotyping technique based on the presence of unique DNA sequences in Mycobacterium tuberculosis (Mtb), the causal agent of tuberculosis disease (TB). Although advances in sequencing technologies are leading to whole-genome bacterial characterization, tens of thousands of isolates have been spoligotyped, giving a global view of Mtb strain diversity. To bridge the gap, we have developed SpolPred, a software to predict the spoligotype from raw sequence reads. Our approach is compared with experimentally and de novo assembly determined strain types in a set of 44 Mtb isolates. In silico and experimental results are identical for almost all isolates (39/44). However, SpolPred detected five experimentally false spoligotypes and was more accurate and faster than the assembling strategy. Application of SpolPred to an additional seven isolates with no laboratory data led to types that clustered with identical experimental types in a phylogenetic analysis using single-nucleotide polymorphisms. Our results demonstrate the usefulness of the tool and its role in revealing experimental limitations. Availability and implementation: SpolPred is written in C and is available from www.pathogenseq.org/spolpred. Contact: francesc.coll@lshtm.ac.uk Supplementary information: Supplementary data are available at Bioinformatics Online. Oxford University Press 2012-11-15 2012-09-26 /pmc/articles/PMC3496340/ /pubmed/23014632 http://dx.doi.org/10.1093/bioinformatics/bts544 Text en © The Author 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Coll, Francesc Mallard, Kim Preston, Mark D. Bentley, Stephen Parkhill, Julian McNerney, Ruth Martin, Nigel Clark, Taane G. SpolPred: rapid and accurate prediction of Mycobacterium tuberculosis spoligotypes from short genomic sequences |
title | SpolPred: rapid and accurate prediction of Mycobacterium tuberculosis spoligotypes from short genomic sequences |
title_full | SpolPred: rapid and accurate prediction of Mycobacterium tuberculosis spoligotypes from short genomic sequences |
title_fullStr | SpolPred: rapid and accurate prediction of Mycobacterium tuberculosis spoligotypes from short genomic sequences |
title_full_unstemmed | SpolPred: rapid and accurate prediction of Mycobacterium tuberculosis spoligotypes from short genomic sequences |
title_short | SpolPred: rapid and accurate prediction of Mycobacterium tuberculosis spoligotypes from short genomic sequences |
title_sort | spolpred: rapid and accurate prediction of mycobacterium tuberculosis spoligotypes from short genomic sequences |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3496340/ https://www.ncbi.nlm.nih.gov/pubmed/23014632 http://dx.doi.org/10.1093/bioinformatics/bts544 |
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