| Description |
1 online resource (284 pages) |
| Series |
Lecture Notes in Computer Science ; 12558 |
|
LNCS sublibrary, SL 8, Bioinformatics |
|
Lecture notes in computer science ; 12558.
|
|
LNCS sublibrary. SL 8, Bioinformatics.
|
| Contents |
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 |
| Summary |
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 |
| Notes |
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 |
|
Online resource; title from PDF title page (SpringerLink, viewed February 17, 2021) |
| Subject |
Bioinformatics -- Congresses
|
|
Computational biology -- Congresses
|
|
Computational biology
|
|
Bioinformatics
|
| Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
| Form |
Electronic book
|
| Author |
Setubal, João Carlos.
|
|
Silva, Waldeyr Mendes
|
| ISBN |
9783030657758 |
|
3030657752 |
|
