advanced proteomics informatics tools
bioinformatic analysis
Category=PSB
clinical sample profiling
Data Set
Database Search Tool
desorption
disease pathway mapping
EGFR Signaling Pathway
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Fish Signal
functional genomics integration
Human Protein Interaction
HUPO PPP
Image Analysis
Image Processing
ionization
laser
machine
Map Protein Protein Interactions
mass
Mass Spectrometry
matrix-assisted
Mint
MS Spectrum
Pattern Discovery Algorithm
Peak Lists
Peptide Mass
Profile Server
protein
protein biomarker discovery
Protein Identification
Protein Sequence
Protein Sequence Databases
Proteolytic Peptides
Proteomics Data
Roc Curve
SELDI TOF MS
spectrometry
statistical proteomics methods
support
Tandem Mass Spectrum
Theoretical Mass Spectrum
vector
Product details
- ISBN 9781574444803
- Weight: 771g
- Dimensions: 156 x 234mm
- Publication Date: 24 Jun 2005
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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The handling and analysis of data generated by proteomics investigations represent a challenge for computer scientists, biostatisticians, and biologists to develop tools for storing, retrieving, visualizing, and analyzing genomic data. Informatics in Proteomics examines the ongoing advances in the application of bioinformatics to proteomics research and analysis.
Through computer simulations, scientists can determine more about how diseases affect cells, predict how various drug interventions would work, and ultimately use proteins as therapeutic targets. This book first addresses the infrastructure needed for public protein databases. It discusses information management systems and user interfaces for storage, retrieval, and visualization of the data as well as issues surrounding data standardization and integration of protein sequences recorded in the last two decades. The authors subsequently examine the application of statistical and bioinformatic tools to data analysis, data presentation, and data mining. They discuss the implementation of algorithms, statistical methods, and computer applications that facilitate pattern recognition and biomarker discovery by integrating data from multiple sources.
This book offers a well-rounded resource of informatic approaches to data storage, retrieval, and protein analysis as well as application-specific bioinformatic tools that can be used in disease detection, diagnosis, and treatment. Informatics in Proteomics captures the current state-of-the-art and provides a valuable foundation for future directions.
Sudhir Srivastava
