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_d125283
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020 _a9781493967384
_cE109.99
040 _cIGNOU Library
082 _223
_a572.60285 P946
245 0 _aProteome bioinformatics /
_cedited by Shivakumar Keerthikumar and Suresh Mathivanan.
246 _aProteome bioinformatics (Keerthikumar)
260 _bHumana Press,
_c2017
_aNew York : Humana Press,
300 _axi, 233 pages :
_billustrations ;
_c26 cm
365 _bE 109.99
440 _aMethods in molecular biology (Clifton, N.J.),
_nv. 1549.; Springer protocols (Series)
_910439
505 _aIntroduction 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.
650 _aProteomics
_xData processing
_913283
650 _aBioinformatics.
_912067
650 _aProteomics.
_913284
700 _aKeerthikumar, Shivakumar
_eeditor
_913285
700 _aMathivanan, Suresh
_eeditor
_913286
901 _a17500
_b16-01-2018
902 _a21072
_b05-02-2018
_cF
_dSBA
_eBIO
903 _aDiscount-20
_bReqst by : Parvesh Babber
942 _2ddc
_cBK