Proteome bioinformatics / edited by Shivakumar Keerthikumar and Suresh Mathivanan.

Uniform title
Format
Book
Language
English
Published/​Created
  • New York : Humana Press, [2017]
  • ©2017
Description
xi, 233 pages : illustrations ; 26 cm

Availability

Copies in the Library

Location Call Number Status Location Service Notes
Lewis Library - Lewis Library - Serials (Off-Site) QH506 .M45 1984 vol.1549 Browse related items Request

    Details

    Subject(s)
    Editor
    Series
    Bibliographic references
    Includes bibliographical references and index.
    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.
    ISBN
    • 9781493967384 ((alk. paper))
    • 149396738X ((alk. paper))
    • 1493967401
    • 9781493967407
    LCCN
    2016959985
    OCLC
    957954536
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