8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014)

8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014)


Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more 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. In this context, 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. PACBB14 contributes to this effort promoting this fruitful interaction. PACBB`14 technical program included 34 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference promotes the interaction of scientists from diverse research groups and with a distinct background such as computer scientists, mathematicians or biologists.

Table of contents

Front Matter....Pages 1-13
Agent-Based Model for Phenotypic Prediction Using Genomic and Environmental Data....Pages 1-8
NAPROC-13: A Carbon NMR Web Database for the Structural Elucidation of Natural Products and Food Phytochemicals....Pages 9-19
Platform Image Processing Applied to the Study of Retinal Vessels....Pages 21-30
Improving miRNA Classification Using an Exhaustive Set of Features....Pages 31-39
Designing an Ontology Tool for the Unification of Biofilms Data....Pages 41-48
BEW: Bioinformatics Workbench for Analysis of Biofilms Experimental Data....Pages 49-56
Discrimination of Brazilian Cassava Genotypes (Manihot esculenta Crantz) According to Their Physicochemical Traits and Functional Properties through Bioinformatics Tools....Pages 57-63
Prediction of Active Residues of ? -galactosidase from Bacteroides thetaiotaomicron ....Pages 65-71
Detection of Intramolecular Tunnels Connecting Sequence of Sites in Protein Structures....Pages 73-80
Improving Positive Unlabeled Learning Algorithms for Protein Interaction Prediction....Pages 81-88
Finding Class C GPCR Subtype-Discriminating N-grams through Feature Selection....Pages 89-96
Geometric Approach to Biosequence Analysis....Pages 97-104
Timed and Probabilistic Model Checking over Phylogenetic Trees....Pages 105-112
mBWA: A Massively Parallel Sequence Reads Aligner....Pages 113-120
Optimizing Multiple Pairwise Alignment of Genomic Sequences in Multicore Clusters....Pages 121-128
High Performance Genomic Sequencing: A Filtered Approach....Pages 129-136
Exceptional Single Strand DNA Word Symmetry: Universal Law?....Pages 137-143
Mutation Analysis in PARK2 Gene Uncovers Patterns of Associated Genetic Variants....Pages 145-152
Heterogeneous Parallelization of Aho-Corasick Algorithm....Pages 153-160
High-Confidence Predictions in Systems Biology Dynamic Models....Pages 161-171
A Parallel Differential Evolution Algorithm for Parameter Estimation in Dynamic Models of Biological Systems....Pages 173-181
A Method to Calibrate Metabolic Network Models with Experimental Datasets....Pages 183-190
Metagenomic Analysis of the Saliva Microbiome with Merlin....Pages 191-199
Networking the Way towards Antimicrobial Combination Therapies....Pages 201-206
A Logic Computational Framework to Query Dynamics on Complex Biological Pathways....Pages 207-214
Evaluating Pathway Enumeration Algorithms in Metabolic Engineering Case Studies....Pages 215-223
T-HMM: A Novel Biomedical Text Classifier Based on Hidden Markov Models....Pages 225-234
TIDA: A Spanish EHR Semantic Search Engine....Pages 235-242
BioClass: A Tool for Biomedical Text Classification....Pages 243-251
Chemical Named Entity Recognition: Improving Recall Using a Comprehensive List of Lexical Features....Pages 253-260
Bringing Named Entity Recognition on Drupal Content Management System....Pages 261-268
Marky: A Lightweight Web Tracking Tool for Document Annotation....Pages 269-276
A Nanopublishing Architecture for Biomedical Data....Pages 277-284
Retrieval and Discovery of Cell Cycle Literature and Proteins by Means of Machine Learning, Text Mining and Network Analysis....Pages 285-292
Back Matter....Pages 293-294


  • Author: Julio Saez-Rodriguez, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz Santana (eds.)
  • Edition: 1
  • Publication Date: 2014
  • Publisher: Springer International Publishing
  • ISBN-13: 9783319075808, 9783319075815
  • Pages: 298
  • Format: pdf
  • Size: 16.4M
Download Now