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7th International Conference on Practical Applications of Computational Biology

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Cover of '7th International Conference on Practical Applications of Computational Biology & Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Gene Functional Prediction Using Clustering Methods for the Analysis of Tomato Microarray Data
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    Chapter 2 Analysis of Word Symmetries in Human Genomes Using Next-Generation Sequencing Data
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    Chapter 3 A Clustering Framework Applied to DNA Microarray Data
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    Chapter 4 Segmentation of DNA into Coding and Noncoding Regions Based on Inter-STOP Symbols Distances
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    Chapter 5 Assignment of Novel Functions to Helicobacter pylori 26695’s Genome
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    Chapter 6 Analysing Quality Measures of Phasing Algorithms in Genome-Wide Haplotyping
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    Chapter 7 Search Functional Annotations Genetic Relationships of Coffee through Bio2RDF
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    Chapter 8 A Cellular Automaton Model of the Effects of Maspin on Cell Migration
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    Chapter 9 Quantitative Characterization of Protein Networks of the Oral Cavity
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    Chapter 10 Analysing Relevant Diseases from Iberian Tweets
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    Chapter 11 Optimized Workflow for the Healthcare Logistic: Case of the Pediatric Emergency Department
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    Chapter 12 Boosting the Detection of Transposable Elements Using Machine Learning
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    Chapter 13 On an Individual-Based Model for Infectious Disease Outbreaks
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    Chapter 14 A Statistical Comparison of SimTandem with State-of-the-Art Peptide Identification Tools
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    Chapter 15 HaptreeBuilder: Web Generation and Visualization of Risk Haplotype Trees
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    Chapter 16 Speeding Up Phylogenetic Model Checking
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    Chapter 17 Comp2ROC
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    Chapter 18 Network Visualization Tools to Enhance Metabolic Engineering Platforms
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    Chapter 19 A Workflow for the Application of Biclustering to Mass Spectrometry Data
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37 Mendeley
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7th International Conference on Practical Applications of Computational Biology & Bioinformatics
Published by
Springer International Publishing, April 2013
DOI 10.1007/978-3-319-00578-2
978-3-31-900577-5, 978-3-31-900578-2

Mohamad, Mohd Saberi, Nanni, Loris, Rocha, Miguel P., Fdez-Riverola, Florentino

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Singapore 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 22%
Researcher 7 19%
Student > Master 7 19%
Student > Ph. D. Student 5 14%
Other 2 5%
Other 6 16%
Unknown 2 5%
Readers by discipline Count As %
Engineering 12 32%
Computer Science 7 19%
Agricultural and Biological Sciences 6 16%
Biochemistry, Genetics and Molecular Biology 2 5%
Mathematics 2 5%
Other 4 11%
Unknown 4 11%