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Data Mining Techniques for the Life Sciences

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Cover of 'Data Mining Techniques for the Life Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Nucleic Acid Sequence and Structure Databases
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    Chapter 2 Genomic Databases and Resources at the National Center for Biotechnology Information
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    Chapter 3 Protein Sequence Databases
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    Chapter 4 Protein Structure Databases
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    Chapter 5 Protein Domain Architectures
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    Chapter 6 Thermodynamic Database for Proteins: Features and Applications
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    Chapter 7 Enzyme databases.
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    Chapter 8 Biomolecular Pathway Databases
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    Chapter 9 Databases of Protein–Protein Interactions and Complexes
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    Chapter 10 Proximity Measures for Cluster Analysis
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    Chapter 11 Clustering Criteria and Algorithms
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    Chapter 12 Neural networks.
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    Chapter 13 A User’s Guide to Support Vector Machines
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    Chapter 14 Data Mining Techniques for the Life Sciences
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    Chapter 15 Integrated Tools for Biomolecular Sequence-Based Function Prediction as Exemplified by the ANNOTATOR Software Environment
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    Chapter 16 Computational Methods for Ab Initio and Comparative Gene Finding
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    Chapter 17 Sequence and structure analysis of noncoding RNAs.
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    Chapter 18 Conformational Disorder
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    Chapter 19 Protein secondary structure prediction.
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    Chapter 20 Analysis and Prediction of Protein Quaternary Structure
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    Chapter 21 Prediction of Posttranslational Modification of Proteins from Their Amino Acid Sequence
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    Chapter 22 Protein Crystallizability
Attention for Chapter 16: Computational Methods for Ab Initio and Comparative Gene Finding
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Citations

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Readers on

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75 Mendeley
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Chapter title
Computational Methods for Ab Initio and Comparative Gene Finding
Chapter number 16
Book title
Data Mining Techniques for the Life Sciences
Published in
Methods in molecular biology, January 2010
DOI 10.1007/978-1-60327-241-4_16
Pubmed ID
Book ISBNs
978-1-60327-240-7, 978-1-60327-241-4
Authors

Ernesto Picardi, Graziano Pesole, Picardi, Ernesto, Pesole, Graziano

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Brazil 2 3%
United Kingdom 1 1%
France 1 1%
Mexico 1 1%
Canada 1 1%
Unknown 65 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 27%
Student > Ph. D. Student 11 15%
Student > Bachelor 7 9%
Student > Master 7 9%
Student > Doctoral Student 5 7%
Other 13 17%
Unknown 12 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 31%
Biochemistry, Genetics and Molecular Biology 19 25%
Computer Science 7 9%
Chemistry 3 4%
Business, Management and Accounting 1 1%
Other 6 8%
Unknown 16 21%