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De Novo Sequencing of Peptides from Top-Down Tandem Mass Spectra. / Vyatkina, Kira; Wu, Si; Dekker, Lennard J. M.; VanDuijn, Martijn M.; Liu, Xiaowen; Tolic, Nikola; Dvorkin, Mikhail; Alexandrova, Sonya; Luider, Theo M.; Pasa-Tolic, Ljiljana; Pevzner, Pavel A.

в: Journal of Proteome Research, Том 14, № 11, 2015.

Результаты исследований: Научные публикации в периодических изданияхстатья

Harvard

Vyatkina, K, Wu, S, Dekker, LJM, VanDuijn, MM, Liu, X, Tolic, N, Dvorkin, M, Alexandrova, S, Luider, TM, Pasa-Tolic, L & Pevzner, PA 2015, 'De Novo Sequencing of Peptides from Top-Down Tandem Mass Spectra', Journal of Proteome Research, Том. 14, № 11. https://doi.org/10.1021/pr501244v

APA

Vyatkina, K., Wu, S., Dekker, L. J. M., VanDuijn, M. M., Liu, X., Tolic, N., Dvorkin, M., Alexandrova, S., Luider, T. M., Pasa-Tolic, L., & Pevzner, P. A. (2015). De Novo Sequencing of Peptides from Top-Down Tandem Mass Spectra. Journal of Proteome Research, 14(11). https://doi.org/10.1021/pr501244v

Vancouver

Vyatkina K, Wu S, Dekker LJM, VanDuijn MM, Liu X, Tolic N и пр. De Novo Sequencing of Peptides from Top-Down Tandem Mass Spectra. Journal of Proteome Research. 2015;14(11). https://doi.org/10.1021/pr501244v

Author

Vyatkina, Kira ; Wu, Si ; Dekker, Lennard J. M. ; VanDuijn, Martijn M. ; Liu, Xiaowen ; Tolic, Nikola ; Dvorkin, Mikhail ; Alexandrova, Sonya ; Luider, Theo M. ; Pasa-Tolic, Ljiljana ; Pevzner, Pavel A. / De Novo Sequencing of Peptides from Top-Down Tandem Mass Spectra. в: Journal of Proteome Research. 2015 ; Том 14, № 11.

BibTeX

@article{4477a916f2ea4114b8a32fab8f1ca98c,
title = "De Novo Sequencing of Peptides from Top-Down Tandem Mass Spectra",
abstract = "De novo sequencing of proteins and peptides is one of the most important problems in mass spectrometry-driven proteomics. A variety of methods have been developed to accomplish this task from a set of bottom-up tandem (MS/MS) mass spectra. However, a more recently emerged top-down technology, now gaining more and more popularity, opens new perspectives for protein analysis and characterization, implying a need for efficient algorithms to process this kind of MS/MS data. Here, we describe a method that allows for the retrieval, from a set of top-down MS/MS spectra, of long and accurate sequence fragments of the proteins contained in the sample. To this end, we outline a strategy for generating high-quality sequence tags from top-down spectra, and introduce the concept of a T-Bruijn graph by adapting to the case of tags the notion of an A-Bruijn graph widely used in genomics. The output of the proposed approach represents the set of amino acid strings spelled out by optimal paths in the connected components of",
author = "Kira Vyatkina and Si Wu and Dekker, {Lennard J. M.} and VanDuijn, {Martijn M.} and Xiaowen Liu and Nikola Tolic and Mikhail Dvorkin and Sonya Alexandrova and Luider, {Theo M.} and Ljiljana Pasa-Tolic and Pevzner, {Pavel A.}",
year = "2015",
doi = "10.1021/pr501244v",
language = "English",
volume = "14",
journal = "Journal of Proteome Research",
issn = "1535-3893",
publisher = "American Chemical Society",
number = "11",

}

RIS

TY - JOUR

T1 - De Novo Sequencing of Peptides from Top-Down Tandem Mass Spectra

AU - Vyatkina, Kira

AU - Wu, Si

AU - Dekker, Lennard J. M.

AU - VanDuijn, Martijn M.

AU - Liu, Xiaowen

AU - Tolic, Nikola

AU - Dvorkin, Mikhail

AU - Alexandrova, Sonya

AU - Luider, Theo M.

AU - Pasa-Tolic, Ljiljana

AU - Pevzner, Pavel A.

PY - 2015

Y1 - 2015

N2 - De novo sequencing of proteins and peptides is one of the most important problems in mass spectrometry-driven proteomics. A variety of methods have been developed to accomplish this task from a set of bottom-up tandem (MS/MS) mass spectra. However, a more recently emerged top-down technology, now gaining more and more popularity, opens new perspectives for protein analysis and characterization, implying a need for efficient algorithms to process this kind of MS/MS data. Here, we describe a method that allows for the retrieval, from a set of top-down MS/MS spectra, of long and accurate sequence fragments of the proteins contained in the sample. To this end, we outline a strategy for generating high-quality sequence tags from top-down spectra, and introduce the concept of a T-Bruijn graph by adapting to the case of tags the notion of an A-Bruijn graph widely used in genomics. The output of the proposed approach represents the set of amino acid strings spelled out by optimal paths in the connected components of

AB - De novo sequencing of proteins and peptides is one of the most important problems in mass spectrometry-driven proteomics. A variety of methods have been developed to accomplish this task from a set of bottom-up tandem (MS/MS) mass spectra. However, a more recently emerged top-down technology, now gaining more and more popularity, opens new perspectives for protein analysis and characterization, implying a need for efficient algorithms to process this kind of MS/MS data. Here, we describe a method that allows for the retrieval, from a set of top-down MS/MS spectra, of long and accurate sequence fragments of the proteins contained in the sample. To this end, we outline a strategy for generating high-quality sequence tags from top-down spectra, and introduce the concept of a T-Bruijn graph by adapting to the case of tags the notion of an A-Bruijn graph widely used in genomics. The output of the proposed approach represents the set of amino acid strings spelled out by optimal paths in the connected components of

U2 - 10.1021/pr501244v

DO - 10.1021/pr501244v

M3 - Article

VL - 14

JO - Journal of Proteome Research

JF - Journal of Proteome Research

SN - 1535-3893

IS - 11

ER -

ID: 3990332