TY  - BOOK
AU  - Setubal,João Carlos
AU  - Silva,Waldeyr Mendes
ED  - Brazilian Symposium on Bioinformatics
TI  - Advances in bioinformatics and computational biology: 13th Brazilian Symposium on Bioinformatics, BSB 2020, São Paulo, Brazil, November 23-27, 2020, Proceedings 
T2  - Lecture Notes in Computer Science
SN  - 9783030657758
AV  - QH324.2 
U1  - 570.285 23
PY  - 2020///
CY  - Cham
PB  - Springer
KW  - Bioinformatics
KW  - Congresses
KW  - Computational biology
KW  - Bio-informatique
KW  - Congrès
KW  - fast
KW  - Congress
KW  - proceedings (reports)
KW  - aat
KW  - Conference papers and proceedings
KW  - lcgft
KW  - Actes de congrès
KW  - rvmgf
N1  - International conference proceedings; "This volume contains the accepted papers for BSB 2020, held virtually during November 23-27, 2020"--Preface; Combining Mutation and Gene Network Data in a Machine Learning Approach for False-Positive Cancer Driver Gene Discovery; Includes author index; Intro -- Preface -- Organization -- Contents -- A Classification of de Bruijn Graph Approaches for De Novo Fragment Assembly -- 1 Introduction -- 2 Genome Assembly -- 3 The de Bruijn Graph De Novo Assembly Approach -- 4 de Bruijn Graph Based Assemblers -- 4.1 Main Classification of Approaches -- 4.2 General Strategies to Reduce Memory Footprint for DBG Construction -- 4.3 Specific Strategies to Reduce the Large Memory Consumption -- 4.4 k-mers Counters -- 5 Conclusions -- References -- Redundancy Treatment of NGS Contigs in Microbial Genome Finishing with Hashing-Based Approach; 1 Introduction -- 1.1 DNA Repetitions and Contigs Redundancy -- 1.2 Computational Methods for Redundancy Detection in Sequences -- 1.3 Contribution of This Work -- 2 Biological Dataset and Assembly -- 3 The Proposed Hybrid Model -- 4 Results and Discussion -- 5 Conclusion -- References -- Efficient Out-of-Core Contig Generation -- 1 Introduction -- 2 De Novo Assembly Using de Bruijn Graph -- 3 Overview of Our Proposed Approach -- 4 Contig Generation -- 5 Conclusions -- References -- In silico Pathogenomic Analysis of Corynebacterium Pseudotuberculosis Biovar Ovis -- 1 Introduction; 1.1 Corynebacterium Pseudotuberculosis -- 1.2 Comparative Pathogenomics -- 1.3 Determinants of Pathogenicity -- 2 Methods -- 2.1 Pan-Genomic Analysis of C. Pseudotuberculosis Biovar Ovis -- 2.2 Prediction of Virulence Factors in Corynebacterium -- 2.3 Composition of Pathogenicity Islands (PAI) -- 2.4 Synteny in C. Pseudotuberculosis Genomes -- 2.5 In Silico Prediction of Pathogenicity Potentials -- 2.6 Protein-Protein Interactions -- 2.7 Identification of Prophages -- 3 Results and Discussion -- 3.1 Identification of Adherence Factors -- 3.2 Identification of Iron Uptake Factors; 3.3 Identification of Regulation Factors -- 3.4 Identification of Toxin Factors -- 3.5 Prediction of Pathogenicity Islands -- 3.6 Prediction of Pathogenicity Potentials -- 3.7 Identification of Prophages -- 3.8 Prediction of Protein-Protein Interactions -- 4 Conclusion -- References -- Assessing the Sex-Related Genomic Composition Difference Using a k-mer-Based Approach: A Case of Study in Arapaima gigas (Pirarucu) -- 1 Introduction -- 2 Materials and Methods -- 2.1 Sequencing and Data Processing -- 2.2 k-mer Analysis -- 3 Results and Discussion -- 4 Conclusions -- References; COVID-19 X-ray Image Diagnostic with Deep Neural Networks -- 1 Introduction -- 2 Dataset -- 3 Methodology -- 3.1 Data Preparation -- 3.2 Classification Model -- 4 Experimental Evaluation -- 4.1 Model Evaluation -- 4.2 Multi-class and Binary Classification of the Unbalanced Dataset -- 4.3 Ensemble of CNNs -- 4.4 Test Set Evaluation -- 5 Conclusions and Future Work -- References -- Classification of Musculoskeletal Abnormalities with Convolutional Neural Networks -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Experiments -- 3 Results and Discussion -- 4 Conclusion -- References
N2  - This book constitutes the refereed proceedings of the Brazilian Symposium on Bioinformatics, BSB 2020, held in São Paulo, Brazil, in November 2020. Due to COVID-19 pandemic the conference was held virtually The 20 revised full papers and 5 short papers were carefully reviewed and selected from 45 submissions. The papers address a broad range of current topics in computational biology and bioinformatics
UR  - https://link.springer.com/10.1007/978-3-030-65775-8
ER  -