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Title:
Proteome bioinformatics / edited by Shivakumar Keerthikumar and Suresh Mathivanan.
Publisher:
Humana Press :
Copyright Date:
2017
Description:
xi, 233 pages : illustrations (some color) ; 26 cm.
Subject:
Proteomics--Data processing.
Other Authors:
Keerthikumar, Shivakumar, editor. http://id.loc.gov/authorities/names/nb2017001948
Mathivanan, Suresh, editor. http://id.loc.gov/authorities/names/nb2017001947
Notes:
Includes bibliographical references and index.
Contents:
In silico approach to identify potential inhibitors for Axl-Gas6 signaling / Swathik Clarancia Peter, Jayakanthan Mannu, and Premendu P. Mathur. 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.
Series:
Springer protocols, 1949-2448
Methods in molecular biology, 1064-3745 ; 1549
ISBN:
9781493967407
1493967401
9781493967384
149396738X
OCLC:
(OCoLC)957954536
Locations:
OVUX522 -- University of Iowa Libraries (Iowa City)

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