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Top-down analysis of protein samples by de novo sequencing techniques. / Vyatkina, K.; Wu, S.; Dekker, L.J.M.; VanDuijn, M.M.; Liu, X.; Toli, N.; Luider, T.M.; Pa a-Toli, L.; Pevzner, P.A.

в: Bioinformatics, Том 32, № 18, 2016, стр. 2753-2759.

Результаты исследований: Научные публикации в периодических изданиях › статья

Harvard

Vyatkina, K, Wu, S, Dekker, LJM, VanDuijn, MM, Liu, X, Toli, N, Luider, TM, Pa a-Toli, L & Pevzner, PA 2016, 'Top-down analysis of protein samples by de novo sequencing techniques', Bioinformatics, Том. 32, № 18, стр. 2753-2759. https://doi.org/10.1093/bioinformatics/btw307

APA

Vyatkina, K., Wu, S., Dekker, L. J. M., VanDuijn, M. M., Liu, X., Toli, N., Luider, T. M., Pa a-Toli, L., & Pevzner, P. A. (2016). Top-down analysis of protein samples by de novo sequencing techniques. Bioinformatics, 32(18), 2753-2759. https://doi.org/10.1093/bioinformatics/btw307

Vancouver

Vyatkina K, Wu S, Dekker LJM, VanDuijn MM, Liu X, Toli N и пр. Top-down analysis of protein samples by de novo sequencing techniques. Bioinformatics. 2016;32(18):2753-2759. https://doi.org/10.1093/bioinformatics/btw307

Author

Vyatkina, K. ; Wu, S. ; Dekker, L.J.M. ; VanDuijn, M.M. ; Liu, X. ; Toli, N. ; Luider, T.M. ; Pa a-Toli, L. ; Pevzner, P.A. / Top-down analysis of protein samples by de novo sequencing techniques. в: Bioinformatics. 2016 ; Том 32, № 18. стр. 2753-2759.

BibTeX

@article{a76d9e66473341e4afe9bf44c8a4588d,
title = "Top-down analysis of protein samples by de novo sequencing techniques",
abstract = "{\textcopyright} 2016 The Author. Published by Oxford University Press. All rights reserved.Motivation: Recent technological advances have made high-resolution mass spectrometers affordable to many laboratories, thus boosting rapid development of top-down mass spectrometry, and implying a need in efficient methods for analyzing this kind of data. Results: We describe a method for analysis of protein samples from top-down tandem mass spectrometry data, which capitalizes on de novo sequencing of fragments of the proteins present in the sample. Our algorithm takes as input a set of de novo amino acid strings derived from the given mass spectra using the recently proposed Twister approach, and combines them into aggregated strings endowed with offsets. The former typically constitute accurate sequence fragments of sufficiently well-represented proteins from the sample being analyzed, while the latter indicate their location in the protein sequence, and also bear information on post-translational modifications and fragmentation",
author = "K. Vyatkina and S. Wu and L.J.M. Dekker and M.M. VanDuijn and X. Liu and N. Toli and T.M. Luider and {Pa a-Toli}, L. and P.A. Pevzner",
year = "2016",
doi = "10.1093/bioinformatics/btw307",
language = "English",
volume = "32",
pages = "2753--2759",
journal = "Bioinformatics",
issn = "1367-4803",
publisher = "Oxford University Press",
number = "18",

}

RIS

TY - JOUR

T1 - Top-down analysis of protein samples by de novo sequencing techniques

AU - Vyatkina, K.

AU - Wu, S.

AU - Dekker, L.J.M.

AU - VanDuijn, M.M.

AU - Liu, X.

AU - Toli, N.

AU - Luider, T.M.

AU - Pa a-Toli, L.

AU - Pevzner, P.A.

PY - 2016

Y1 - 2016

N2 - © 2016 The Author. Published by Oxford University Press. All rights reserved.Motivation: Recent technological advances have made high-resolution mass spectrometers affordable to many laboratories, thus boosting rapid development of top-down mass spectrometry, and implying a need in efficient methods for analyzing this kind of data. Results: We describe a method for analysis of protein samples from top-down tandem mass spectrometry data, which capitalizes on de novo sequencing of fragments of the proteins present in the sample. Our algorithm takes as input a set of de novo amino acid strings derived from the given mass spectra using the recently proposed Twister approach, and combines them into aggregated strings endowed with offsets. The former typically constitute accurate sequence fragments of sufficiently well-represented proteins from the sample being analyzed, while the latter indicate their location in the protein sequence, and also bear information on post-translational modifications and fragmentation

AB - © 2016 The Author. Published by Oxford University Press. All rights reserved.Motivation: Recent technological advances have made high-resolution mass spectrometers affordable to many laboratories, thus boosting rapid development of top-down mass spectrometry, and implying a need in efficient methods for analyzing this kind of data. Results: We describe a method for analysis of protein samples from top-down tandem mass spectrometry data, which capitalizes on de novo sequencing of fragments of the proteins present in the sample. Our algorithm takes as input a set of de novo amino acid strings derived from the given mass spectra using the recently proposed Twister approach, and combines them into aggregated strings endowed with offsets. The former typically constitute accurate sequence fragments of sufficiently well-represented proteins from the sample being analyzed, while the latter indicate their location in the protein sequence, and also bear information on post-translational modifications and fragmentation

U2 - 10.1093/bioinformatics/btw307

DO - 10.1093/bioinformatics/btw307

M3 - Article

VL - 32

SP - 2753

EP - 2759

JO - Bioinformatics

JF - Bioinformatics

SN - 1367-4803

IS - 18

ER -

ID: 7951474