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[null,"1.","Record Nr.",null,"UNINA990000731940403321"]
[null,null,"Autore",null,"Kirgis, Ludwig"]
[null,null,"Titolo",null,"Costruzioni stradali ed idrauliche / Ludwig Kirgis ; traduzione di Giorgio Andreon"]
[null,null,"Pubbl/distr/stampa",null,"Bologna : C.E.L.I., [1958?]"]
[null,null,"Descrizione fisica",null,"2 v. : ill. ; 24 cm"]
[null,null,"Locazione",null,"FARBC"]
[{"$nulls":4},"DINGE"]
[{"$nulls":4},"DINTR"]
[null,null,"Collocazione",null,"TECN B 169 (1)"]
[{"$nulls":4},"TECN B 169 (2)"]
[{"$nulls":4},"L 3/23"]
[{"$nulls":4},"L 3/24"]
[{"$nulls":4},"I1/76"]
[{"$nulls":4},"I1/77"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNISA996465851303316"]
[null,null,"Titolo",null,"Advances in bioinformatics and computational biology : 4th Brazilian Symposium on Bioinformatics, BSB 2009, Porto Alegre, Brazil, July 29-31, 2009, proceedings / / edited by Katia S. Guimarães, Anna Panchenko, Teresa M. Przytycka"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Germany ; ; New York, New York : , : Springer, , [2009]"]
[{"$nulls":4},"©2009"]
[null,null,"ISBN",null,"1-282-33176-0"]
[{"$nulls":4},"9786612331763"]
[{"$nulls":4},"3-642-03223-0"]
[null,null,"Edizione",null,"[1st ed. 2009.]"]
[null,null,"Descrizione fisica",null,"1 online resource (178 p.)"]
[null,null,"Collana",null,"Lecture Notes in Bioinformatics ; ; 5676"]
[null,null,"Classificazione",null,"BIO 110f"]
[{"$nulls":4},"SS 4800"]
[null,null,"Disciplina",null,"570.285"]
[null,null,"Soggetti",null,"Bioinformatics"]
[{"$nulls":4},"Computational biology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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 -- "]
[{"$nulls":4},"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."]
[null,null,null,"Sommario/riassunto","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."]