Proteome bioinformatics / edited by Shivakumar Keerthikumar and Suresh Mathivanan.

Contributor(s):

Material type: Text

TextSeries: Methods in molecular biology (Clifton, N.J.). v. 1549.; Springer protocols (Series) Publication details: Humana Press, 2017 New York : Humana Press,Description: xi, 233 pages : illustrations ; 26 cmISBN:

9781493967384

Other title:

Proteome bioinformatics (Keerthikumar)

Subject(s):

DDC classification:

23 572.60285 P946

Contents:

Introduction to proteome bioinformatics / Shivakumar Keerthikumar -- Proteomic data storage and sharing / Shivakumar Keerthikumar and Suresh Mathivanan -- Choosing an optimal database for protein identification from tandem mass spectrometry data / Dhirendra Kumar, Amit Kumar Yadav, and Debasis Dash -- Label-based and label-free strategies for protein quantitation / Sushma Anand, Monisha Samuel, Ching-Seng Ang, Shivakumar Keerthikumar, and Suresh Mathivanan -- TMT one-stop shop : from reliable sample preparation to computational analysis platform / Mehdi Mirzaei, Dana Pascovici, Jemma X. Wu, Joel Chick, Yunqi Wu, Brett Cooke, Paul Haynes, and Mark P. Molloy -- Unassigned MS/MS spectra : who am I? / Mohashin Pathan, Monisha Samuel, Shivakumar Keerthikumar, and Suresh Mathivanan -- Methods to calculate spectrum similarity / Şule Yilmaz, Elien Vandermarliere, and Lennart Martens -- Proteotypic peptides and their applications / Shivakumar Keerthikumar and Suresh Mathivanan -- Statistical evaluation of labeled comparative profiling proteomics experiments using permutation test / Hien D. Nguyen, Geoffrey J. McLachlan, and Michelle M. Hill -- De novo peptide sequencing : deep mining of high-resolution mass spectrometry data / Mohammad Tawhidul Islam, Abidali Mohamedali, Criselda Santan Fernandes, Mark S. Baker, and Shoba Ranganathan -- Phylogenetic analysis using protein mass spectrometry / Shiyong Ma, Kevin M. Downard, and Jason W.H. Wong -- Bioinformatics methods to deduce biological interpretation from proteomics data / Krishna Patel, Manika Singh, and Harsha Gowda -- Systematic bioinformatics approach to identify high quality mass spectrometry data and functionally annotate proteins and proteomes / Mohammad Tawhidul Islam, Abidali Mohamedali, Seong Beom Ahn, Ishmam Nawar, Mark S. Baker, and Shoba Ranganathan -- Network tools for the analysis of proteomic data / David Chisanga, Shivakumar Keerthikumar, Suresh Mathivanan, and Naveen Chilamkurti -- Determining the significance of protein network features and attributes using permutation testing / Joseph Cursons and Melissa J. Davis -- Bioinformatics tools and resources for analyzing protein structures / Jason J. Paxman and Begoña Heras -- In silico approach to identify potential inhibitors for Axl-Gas6 signaling / Swathik Clarancia Peter, Jayakanthan Mannu, and Premendu P. Mathur.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Books	Library and Documentation Division	572.60285 P946 (Browse shelf(Opens below))	Available		108630

Introduction to proteome bioinformatics / Shivakumar Keerthikumar --
Proteomic data storage and sharing / Shivakumar Keerthikumar and Suresh Mathivanan --
Choosing an optimal database for protein identification from tandem mass spectrometry data / Dhirendra Kumar, Amit Kumar Yadav, and Debasis Dash --
Label-based and label-free strategies for protein quantitation / Sushma Anand, Monisha Samuel, Ching-Seng Ang, Shivakumar Keerthikumar, and Suresh Mathivanan --
TMT one-stop shop : from reliable sample preparation to computational analysis platform / Mehdi Mirzaei, Dana Pascovici, Jemma X. Wu, Joel Chick, Yunqi Wu, Brett Cooke, Paul Haynes, and Mark P. Molloy --
Unassigned MS/MS spectra : who am I? / Mohashin Pathan, Monisha Samuel, Shivakumar Keerthikumar, and Suresh Mathivanan --
Methods to calculate spectrum similarity / Şule Yilmaz, Elien Vandermarliere, and Lennart Martens --
Proteotypic peptides and their applications / Shivakumar Keerthikumar and Suresh Mathivanan --
Statistical evaluation of labeled comparative profiling proteomics experiments using permutation test / Hien D. Nguyen, Geoffrey J. McLachlan, and Michelle M. Hill --
De novo peptide sequencing : deep mining of high-resolution mass spectrometry data / Mohammad Tawhidul Islam, Abidali Mohamedali, Criselda Santan Fernandes, Mark S. Baker, and Shoba Ranganathan --
Phylogenetic analysis using protein mass spectrometry / Shiyong Ma, Kevin M. Downard, and Jason W.H. Wong --
Bioinformatics methods to deduce biological interpretation from proteomics data / Krishna Patel, Manika Singh, and Harsha Gowda --
Systematic bioinformatics approach to identify high quality mass spectrometry data and functionally annotate proteins and proteomes / Mohammad Tawhidul Islam, Abidali Mohamedali, Seong Beom Ahn, Ishmam Nawar, Mark S. Baker, and Shoba Ranganathan --
Network tools for the analysis of proteomic data / David Chisanga, Shivakumar Keerthikumar, Suresh Mathivanan, and Naveen Chilamkurti --
Determining the significance of protein network features and attributes using permutation testing / Joseph Cursons and Melissa J. Davis --
Bioinformatics tools and resources for analyzing protein structures / Jason J. Paxman and Begoña Heras --
In silico approach to identify potential inhibitors for Axl-Gas6 signaling / Swathik Clarancia Peter, Jayakanthan Mannu, and Premendu P. Mathur.

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