FluTyper-an algorithm for automated typing and subtyping of the influenza virus from high resolution mass spectral data

<p>Abstract</p> <p>Background</p> <p>High resolution mass spectrometry has been employed to rapidly and accurately type and subtype influenza viruses. The detection of signature peptides with unique theoretical masses enables the unequivocal assignment of the type and s...

Full description

Bibliographic Details
Main Authors: Schwahn Alexander B, Wong Jason WH, Downard Kevin M
Format: Article
Language:English
Published: BMC 2010-05-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/11/266
_version_ 1811297239160586240
author Schwahn Alexander B
Wong Jason WH
Downard Kevin M
author_facet Schwahn Alexander B
Wong Jason WH
Downard Kevin M
author_sort Schwahn Alexander B
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>High resolution mass spectrometry has been employed to rapidly and accurately type and subtype influenza viruses. The detection of signature peptides with unique theoretical masses enables the unequivocal assignment of the type and subtype of a given strain. This analysis has, to date, required the manual inspection of mass spectra of whole virus and antigen digests.</p> <p>Results</p> <p>A computer algorithm, FluTyper, has been designed and implemented to achieve the automated analysis of MALDI mass spectra recorded for proteolytic digests of the whole influenza virus and antigens. FluTyper incorporates the use of established signature peptides and newly developed naïve Bayes classifiers for four common influenza antigens, hemagglutinin, neuraminidase, nucleoprotein, and matrix protein 1, to type and subtype the influenza virus based on their detection within proteolytic peptide mass maps. Theoretical and experimental testing of the classifiers demonstrates their applicability at protein coverage rates normally achievable in mass mapping experiments. The application of FluTyper to whole virus and antigen digests of a range of different strains of the influenza virus is demonstrated.</p> <p>Conclusions</p> <p>FluTyper algorithm facilitates the rapid and automated typing and subtyping of the influenza virus from mass spectral data. The newly developed naïve Bayes classifiers increase the confidence of influenza virus subtyping, especially where signature peptides are not detected. FluTyper is expected to popularize the use of mass spectrometry to characterize influenza viruses.</p>
first_indexed 2024-04-13T06:00:13Z
format Article
id doaj.art-2c1b64fffb84448da8945f28c6667943
institution Directory Open Access Journal
issn 1471-2105
language English
last_indexed 2024-04-13T06:00:13Z
publishDate 2010-05-01
publisher BMC
record_format Article
series BMC Bioinformatics
spelling doaj.art-2c1b64fffb84448da8945f28c66679432022-12-22T02:59:27ZengBMCBMC Bioinformatics1471-21052010-05-0111126610.1186/1471-2105-11-266FluTyper-an algorithm for automated typing and subtyping of the influenza virus from high resolution mass spectral dataSchwahn Alexander BWong Jason WHDownard Kevin M<p>Abstract</p> <p>Background</p> <p>High resolution mass spectrometry has been employed to rapidly and accurately type and subtype influenza viruses. The detection of signature peptides with unique theoretical masses enables the unequivocal assignment of the type and subtype of a given strain. This analysis has, to date, required the manual inspection of mass spectra of whole virus and antigen digests.</p> <p>Results</p> <p>A computer algorithm, FluTyper, has been designed and implemented to achieve the automated analysis of MALDI mass spectra recorded for proteolytic digests of the whole influenza virus and antigens. FluTyper incorporates the use of established signature peptides and newly developed naïve Bayes classifiers for four common influenza antigens, hemagglutinin, neuraminidase, nucleoprotein, and matrix protein 1, to type and subtype the influenza virus based on their detection within proteolytic peptide mass maps. Theoretical and experimental testing of the classifiers demonstrates their applicability at protein coverage rates normally achievable in mass mapping experiments. The application of FluTyper to whole virus and antigen digests of a range of different strains of the influenza virus is demonstrated.</p> <p>Conclusions</p> <p>FluTyper algorithm facilitates the rapid and automated typing and subtyping of the influenza virus from mass spectral data. The newly developed naïve Bayes classifiers increase the confidence of influenza virus subtyping, especially where signature peptides are not detected. FluTyper is expected to popularize the use of mass spectrometry to characterize influenza viruses.</p>http://www.biomedcentral.com/1471-2105/11/266
spellingShingle Schwahn Alexander B
Wong Jason WH
Downard Kevin M
FluTyper-an algorithm for automated typing and subtyping of the influenza virus from high resolution mass spectral data
BMC Bioinformatics
title FluTyper-an algorithm for automated typing and subtyping of the influenza virus from high resolution mass spectral data
title_full FluTyper-an algorithm for automated typing and subtyping of the influenza virus from high resolution mass spectral data
title_fullStr FluTyper-an algorithm for automated typing and subtyping of the influenza virus from high resolution mass spectral data
title_full_unstemmed FluTyper-an algorithm for automated typing and subtyping of the influenza virus from high resolution mass spectral data
title_short FluTyper-an algorithm for automated typing and subtyping of the influenza virus from high resolution mass spectral data
title_sort flutyper an algorithm for automated typing and subtyping of the influenza virus from high resolution mass spectral data
url http://www.biomedcentral.com/1471-2105/11/266
work_keys_str_mv AT schwahnalexanderb flutyperanalgorithmforautomatedtypingandsubtypingoftheinfluenzavirusfromhighresolutionmassspectraldata
AT wongjasonwh flutyperanalgorithmforautomatedtypingandsubtypingoftheinfluenzavirusfromhighresolutionmassspectraldata
AT downardkevinm flutyperanalgorithmforautomatedtypingandsubtypingoftheinfluenzavirusfromhighresolutionmassspectraldata