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161214s2017 xxu| s |||| 0|eng d |
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|a 9781493967407
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|a 10.1007/978-1-4939-6740-7
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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245 |
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|a Proteome Bioinformatics /
|c edited by Shivakumar Keerthikumar, Suresh Mathivanan.
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250 |
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|a 1st ed. 2017.
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260 |
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|a New York, NY :
|b Springer New York :
|b Imprint: Humana,
|c 2017.
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300 |
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|a XI, 233 p. 51 illus., 40 illus. in color. :
|b online resource.
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Methods in Molecular Biology,
|v 1549
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|a An Introduction to Proteome Bioinformatics -- Proteomic Data Storage and Sharing -- Choosing an Optimal Database for Protein Identification from Tandem Mass Spectrometry Data -- Label-Based and Label-Free Strategies for Protein Quantitation -- TMT One Stop Shop: From Reliable Sample Preparation to Computational Analysis Platform -- Unassigned MS/MS Spectra: Who Am I? -- Methods to Calculate Spectrum Similarity -- Proteotypic Peptides and Their Applications -- Statistical Evaluation of Labeled Comparative Profiling Proteomics Experiments Using Permutation Test -- De Novo Peptide Sequencing: Deep Mining of High-Resolution Mass Spectrometry Data -- Phylogenetic Analysis Using Protein Mass Spectrometry -- Bioinformatics Methods to Deduce Biological Interpretation from Proteomics Data -- A Systematic Bioinformatics Approach to Identify High Quality Mass Spectrometry Data and Functionally Annotate Proteins and Proteomes -- Network Tools for the Analysis of Proteomic Data -- Determining the Significance of Protein Network Features and Attributes Using Permutation Testing -- Bioinformatics Tools and Resources for Analyzing Protein Structures -- In Silico Approach to Identify Potential Inhibitors for Axl-Gas6 Signalling.
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|a Bioinformatics.
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650 |
1 |
4 |
|a Bioinformatics.
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700 |
1 |
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|a Keerthikumar, Shivakumar.
|e editor.
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700 |
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|a Mathivanan, Suresh.
|e editor.
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710 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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