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Advances in Bioinformatics and Computational Biology: 4th Brazilian Symposium on Bioinformatics, BSB 2009, Porto Alegre, Brazil, July 29-31, 2009, Proceedings: Lecture Notes in Computer Science, cartea 5676

Editat de Katia S. Guimarães, Anna Panchenko, Teresa M. Przytycka
en Limba Engleză Paperback – 14 iul 2009
This volume contains the papers selected for presentation at the 4th Brazilian Sym- sium on Bioinformatics, BSB 2009, which was held in Porto Alegre, Brazil, during August 29–31, 2009. The BSB symposium had its origins in the Brazilian Workshop on Bioinformatics (WOB). WOB had three editions, in 2002 (Gramado, RS), in 2003 (Macaé, RJ), and in 2004 (Brasília, DF). The change in the designation from wo- shop to symposium reflects the increase in the quality of the contributions and also in the interest of the scientific community for the meeting. The previous editions of BSB took place in São Leopoldo, RS, in 2005, in Angra dos Reis, RJ, in 2007, and in Santo André, SP, in 2008. As evidence of the internationalization of the event, BSB 2009 had 55 submissions from seven countries. Of the 55 papers submitted, 36 were full papers, with up to 12 pages each, and 19 were extended abstracts, with up to 4 pages each. The articles submitted were carefully reviewed and selected by an international Program Comm- tee, comprising three chairs and 45 members from around the world, with the help of 21 additional reviewers. The Program Committee Chairs are very thankful to the - thors of all submitted papers, and especially to the Program Committee members and the additional reviewers, who helped select the 12 full papers and the six extended abstracts that make up this book.
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Specificații

ISBN-13: 9783642032226
ISBN-10: 3642032222
Pagini: 182
Ilustrații: XIII, 169 p.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.3 kg
Ediția:2009
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Bioinformatics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Algorithmic Approaches for Molecular Biology Problems.- Genotype Tagging with Limited Overfitting.- Constraint Programming Models for Transposition Distance Problem.- Comparison of Spectra in Unsequenced Species.- Micro-array Analysis.- BiHEA: A Hybrid Evolutionary Approach for Microarray Biclustering.- Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets.- Quantitative Improvements in cDNA Microarray Spot Segmentation.- Machine Learning Methods for Classification.- SOM-PORTRAIT: Identifying Non-coding RNAs Using Self-Organizing Maps.- Automatic Classification of Enzyme Family in Protein Annotation.- Representations for Evolutionary Algorithms Applied to Protein Structure Prediction Problem Using HP Model.- Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques.- Comparative Study of Classification Algorithms Using Molecular Descriptors in Toxicological DataBases.- In Silico Simulation.- Influence of Antigenic Mutations in Time Evolution of the Immune Memory – A Dynamic Modeling.- Short Papers.- FReDD: Supporting Mining Strategies through a Flexible-Receptor Docking Database.- A Wide Antimicrobial Peptides Search Method Using Fuzzy Modeling.- Identification of Proteins from Tuberculin Purified Protein Derivative (PPD) with Potential for TB Diagnosis Using Bioinformatics Analysis.- Mapping HIV-1 Subtype C gp120Epitopes Using a Bioinformatic Approach.- MHC: Peptide Analysis: Implications on the Immunogenicity of Hantaviruses’ N protein.- An Ontology to Integrate Transcriptomics and Interatomics Data Involved in Gene Pathways of Genome Stability.

Textul de pe ultima copertă

This book constitutes the refereed proceedings of the 4th Brazilian Symposium on Bioinformatics, BSB 2009, held in Porto Alegre, Brazil, in July 2009
The 12 revised full papers and 6 extended abstracts were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on algorithmic approaches for molecular biology problems; micro-array analysis; machine learning methods for classification; and in silico simulation.