The Resource Proteome Bioinformatics, edited by Shivakumar Keerthikumar, Suresh Mathivanan, (electronic resource)

Proteome Bioinformatics, edited by Shivakumar Keerthikumar, Suresh Mathivanan, (electronic resource)

Label
Proteome Bioinformatics
Title
Proteome Bioinformatics
Statement of responsibility
edited by Shivakumar Keerthikumar, Suresh Mathivanan
Contributor
Editor
Editor
Subject
Language
eng
Summary
This thorough book covers the most recent proteomics techniques, databases, bioinformatics tools, and computational approaches that are used for the identification and functional annotation of proteins and their structure. The most recent proteomic resources widely used in the biomedical scientific community for storage and dissemination of data are discussed. In addition, specific MS/MS spectrum similarity scoring functions and their application in the field of proteomics, statistical evaluation of labeled comparative proteomics using permutation testing, and methods of phylogenetic analysis using MS data are also described in detail. Written for the highly successful Methods in Molecular Biology series, chapters contain the kind of detail and key implementation advice to ensure successful results. Authoritative and cutting-edge, Proteome Bioinformatics serves as a useful resource for researchers who are beginners as well as advanced investigators in the field of proteomics
Member of
Dewey number
570.285
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • LABsvBbYdEA
  • nT5WlEyIwt4
Image bit depth
0
LC call number
QH324.2-324.25
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Keerthikumar, Shivakumar.
  • Mathivanan, Suresh.
Series statement
Methods in Molecular Biology,
Series volume
1549
http://library.link/vocab/subjectName
  • Bioinformatics
  • Bioinformatics
Label
Proteome Bioinformatics, edited by Shivakumar Keerthikumar, Suresh Mathivanan, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Edition
1st ed. 2017.
Extent
1 online resource (XI, 233 p. 51 illus., 40 illus. in color.)
File format
multiple file formats
Form of item
online
Isbn
9781493967407
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4939-6740-7
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)4340000000037062
  • (DE-He213)978-1-4939-6740-7
  • (EXLCZ)994340000000037062
Label
Proteome Bioinformatics, edited by Shivakumar Keerthikumar, Suresh Mathivanan, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Edition
1st ed. 2017.
Extent
1 online resource (XI, 233 p. 51 illus., 40 illus. in color.)
File format
multiple file formats
Form of item
online
Isbn
9781493967407
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4939-6740-7
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)4340000000037062
  • (DE-He213)978-1-4939-6740-7
  • (EXLCZ)994340000000037062

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