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Bioinformatics for Personalized Medicine

Overview of attention for book
Cover of 'Bioinformatics for Personalized Medicine'

Table of Contents

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    Book Overview
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    Chapter 1 Statistical Significance for NGS Reads Similarities
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    Chapter 2 Application of Array-Oriented Scientific Data Formats (NetCDF) to Genotype Data, GWASpi as an Example
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    Chapter 3 An Ontology and a REST API for Sequence Based Microbial Typing Data
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    Chapter 4 Multivariate Methods for the Integration and Visualization of Omics Data
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    Chapter 5 A Holistic Approach for Integrating Genomic Variation Information
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    Chapter 6 SB-KOM: Integration of Pathway Information with BioPax
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    Chapter 7 GENote v. β : A Web Tool Prototype for Annotation of Unfinished Sequences in Non-model Eukaryotes
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    Chapter 8 Interface Similarity Improves Comparison of DNA-Binding Proteins: The Homeobox Example
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    Chapter 9 Pyicos: A Flexible Tool Library for Analyzing Protein-Nucleotide Interactions with Mapped Reads from Deep Sequencing
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    Chapter 10 Novel Angiogenic Functional Targets Predicted through “Dark Matter” Assessment in Protein Networks
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    Chapter 11 jORCA and Magallanes Sailing Together towards Integration of Web Services
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    Chapter 12 iHOP Web Services Family
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    Chapter 13 Bioinformatic Software Developments in Spain
Attention for Chapter 5: A Holistic Approach for Integrating Genomic Variation Information
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Chapter title
A Holistic Approach for Integrating Genomic Variation Information
Chapter number 5
Book title
Bioinformatics for Personalized Medicine
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-28062-7_5
Book ISBNs
978-3-64-228061-0, 978-3-64-228062-7
Authors

Pedro Lopes, José Luís Oliveira, Lopes, Pedro, Luís Oliveira, José

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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