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Subjects
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Data Mining Techniques for the Life Sciences
2016, Springer New York
in English
1493935704 9781493935703
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Book Details
Table of Contents
Nucleic acid sequence and structure databases / Stefan Washietl and Ivo L. Hofacker
Genomic databases and resources at the National Center for Biotechnology Information / Tatiana Tatusova
Protein sequence databases / Michael Rebhan
Protein structure databases / Roman A. Laskowski
Protein domain architectures / Nicola J. Mulder
Thermodynamic database for proteins : features and applications / M. Michael Gromiha and Akinori Sarai
Enzyme databases / Dietmar Schomburg and Ida Schomburg
Biomolecular pathway databases / Hong Sain Ooi ... [et al.]
Databases of protein-protein interactions and complexes / Hong Sain Ooi ... [et al.]
Proximity measures for cluster analysis / Oliviero Carugo
Clustering criteria and algorithms / Oliviero Carugo
Neural networks / Zheng Rong Yang
A user's guide to support vector machines / Asa Ben-Hur and Jason Weston
Hidden Markov models in biology / Claus Vogl and Andreas Futschik
Integrated tools for biomolecular sequence-based function prediction as exemplified by the ANNOTATOR software environment / Georg Schneider ... [et al.]
Computational methods for ab initio and comparative gene finding / Ernesto Picardi and Graziano Pesole
Sequence and structure analysis of noncoding RNAs / Stefan Washietl
Conformational disorder / Sonia Longhi, Philippe Lieutaud, and Bruno Canard
Protein secondary structure prediction / Walter Pirovano and Jaap Heringa
Analysis and prediction of protein quaternary structure / Anne Poupon and Joel Janin
Prediction of posttranslational modification of proteins from their amino acid sequence / Birgit Eisenhaber and Frank Eisenhaber
Protein crystallizability / Pawel Smialowski and Dmitrij Frishman.
Edition Notes
Includes bibliographical references and index.
Also available in an electronic version.
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