The Brazilian Symposium on Bioinformatics (BSB) is an international conference covering all aspects of Bioinformatics and Computational and Systems Biology. The initial editions of BSB, in 2002, were called WOB (Workshop on Bioinformatics) and were indexed by DBLP; since 2005, WOB was renamed BSB. BSB is organized by the special interest group in Computational Biology (CE-BioComp) of the Brazilian Computer Society (SBC).

BSB 2021 would like to attract participation from academic and industrial researchers, both in the exact sciences (computer science, mathematics, and statistics) and the life sciences (molecular biology, biochemistry, genetics, medicine, microbiology, and others) to submit papers describing original work related to the topics indicated below. Accepted papers will be orally presented at the conference by one of the authors. Acceptance will be based on quality, relevance, and originality. This year, contributions related to bioinformatics as applied to SARS-Cov-2 and COVID-19 are especially welcome in one of the two main tracks accepting both full and short papers.

Bioinformatics and Computational Biology,
including methods, techniques, tools, or survey papers, reporting research results.

•Machine Learning applications in Bioinformatics
•Molecular Sequence Analysis, Motifs, and Pattern Matching
•Biological Databases, Data Management, Data Integration, and Data Mining
•Big Data Analytics and High-Performance Computing in Bioinformatics and Computational Biology
•Comparative, Structural, Functional, and Evolutionary Genomics
•Gene Identification, Regulation, Expression, and Post-translational Modifications
•Protein Structure and Modeling
•Computational Proteomics
•Biological Networks
•Molecular Evolution and Phylogenetics
•Computational Systems Biology
•Statistical Analysis of Molecular Sequences
•Cheminformatics and Computer-Aided Drug Design
•Molecular Docking and Modeling

Applied Bioinformatics and Computational Biology
as applied to biological analyses

•Genomics
•Metagenomics
•Transcriptomics
•Metabolomics
•Proteomics
•Epigenomics
•GWAS
•SNPs and Haplotype Analysis
•Biological Networks
•Microarray Data Analysis
•SingleCell Analysis
•Drug Design
•Biochemistry