7th International Conference on Practical Applications of Computational Biology & Bioinformatics, 1st Edition

  • Published By:
  • ISBN-10: 3319005782
  • ISBN-13: 9783319005782
  • DDC: 570.285
  • Grade Level Range: College Freshman - College Senior
  • 153 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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The growth in the Bioinformatics and Computational Biology fields in recent years has been remarkable, and the pace is increasing. In fact, the need for computational techniques to efficiently handle the huge amounts of data produced by new experimental techniques in Biology is growing, driven by new advances in Next Generation Sequencing, several types of the so-called omics data and image acquisition, and more. Data analysis and integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. In this scenario of increasing data availability, Systems Biology has emerged as an alternative to the reductionist view that previously dominated biological research. Indeed, Biology has become a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. The interaction of researchers from different scientific fields is, more than ever, of foremost importance, boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB'13 supports this need with a technical program that included 19 papers from a submission pool of 32 papers spanning many different sub-fields in Bioinformatics and Computational Biology. The conference promoted the interaction of scientists from diverse research groups and with distinct backgrounds (computer scientists, mathematicians, biologists). The scientific content will certainly be challenging and promote the improvement of the work being developed by each participant. 

Table of Contents

Front Cover.
Editorial Board.
Title Page.
Copyright Page.
1: Gene Functional Prediction Using Clustering Methods for the Analysis of Tomato Microarray Data.
2: Analysis of Word Symmetries in Human Genomes Using Next-Generation Sequencing Data.
3: A Clustering Framework Applied to DNA Microarray Data.
4: Segmentation of DNA into Coding and Noncoding Regions Based on Inter-STOP Symbols Distances.
5: Assignment of Novel Functions to Helicobacter Pylori 26695's Genome.
6: Analysing Quality Measures of Phasing Algorithms in Genome-Wide Haplotyping.
7: Search Functional Annotations Genetic Relationships of Coffee through Bio2RDF.
8: A Cellular Automaton Model of the Effects of Maspin on Cell Migration.
9: Quantitative Characterization of Protein Networks of the Oral Cavity.
10: Analysing Relevant Diseases from Iberian Tweets.
11: Optimized Workflow for the Healthcare Logistic: Case of the Pediatric Emergency Department.
12: Boosting the Detection of Transposable Elements Using Machine Learning.
13: On an Individual-Based Model for Infectious Disease Outbreaks.
14: A Statistical Comparison of SimTandem with State-of-the-Art Peptide Identification Tools*.
15: HaptreeBuilder: Web Generation and Visualization of Risk Haplotype Trees.
16: Speeding Up Phylogenetic Model Checking.
17: Comp2ROC: R Package to Compare Two ROC Curves.
18: Network Visualization Tools to Enhance Metabolic Engineering Platforms.
19: A Workflow for the Application of Biclustering to Mass Spectrometry Data.
Author Index.