Data mining techniques for the life sciences
by Carugo, Oliviero Eisenhaber, Frank
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- Full title :Data mining techniques for the life sciences / edited by Oliviero Carugo, Frank Eisenhaber.
Summary
Annotation
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- Publication Date:2016.
- Edition:[Second edition]
Publication Statements
- Publisher(s):Humana Press
- Place of Publication:New York, NY
- Language:eng
- Publication Date:2016.
The Physical Object
- Description:1 online resource (xiii, 552 pages) : : illustrations (some color)
Edition Identifiers
- ISBN:9781493935727, 1493935720
- DOI:10.1007/978-1-4939-3572-7
- oclc:ocn948660843
- LC Classification:QH324.2
- Dewey Decimal:570.285/6312
Table of Contents
Update on Genomic Databases and Resources at the National Center for Biotechnology Information -- Protein Structure Databases -- The MIntAct Project and Molecular Interaction Databases -- Applications of Protein Thermodynamic Database for Understanding Protein Mutant Stability and Designing Stable Mutants -- Classification and Exploration of 3D Protein Domain Interactions using Kbdock -- Data Mining of Macromolecular Structures -- Criteria to Extract High Quality Protein Data Bank Subsets for Structure Users -- Homology-based Annotation of Large Protein Datasets -- Identification and Correction Of Erroneous Protein Sequences in Public Databases -- Improving the Accuracy of Fitted Atomic Models in Cryo-EM Density Maps Of Protein Assemblies Using Evolutionary Information From Aligned Homologous Proteins -- Systematic Exploration of an Efficient Amino Acid Substitution Matrix, MIQS -- Promises and Pitfalls of High Throughput Biological Assays -- Optimizing RNA-seq Mapping with STAR -- Predicting Conformational Disorder -- Classification of Protein Kinases Influenced By Conservation of Substrate Binding Residues -- Spectral-Statistical Approach for Revealing Latent Regular Structures …
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