2018 International Conference on Bioinformatics and Systems Biology (BSB)

We solicit high-quality original research papers (including significant work-in-progress) on any aspect of bioinformatics and systems biology. New computational techniques and methods involving machine learning, data mining, pattern recognition, knowledge representation, databases, data modeling, stochastic modeling, string and graph algorithms, constraint optimization, data analysis, data visualization, parallel computation, data integration, modeling, and simulation and their application in biological science domain are especially encouraged.

Aim and Scope

Relevant topics should include but are not limited to the following series of theme

Track-1: Genomics (Structure, Function, and Evolution)
Next Generation Sequencing (NGS) and Metagenomics, Genomic evolution, Phylogeny, Comparative Genomics, Functional Genomics, Gene Regulation, Alternative Splicing, Genetic Network Analysis, DNA & RNA Sequence Analysis, Gene Expression Analysis

Track-2: Proteomics (Structure, Function, and Dynamics)
Protein Structure modeling, Protein Network, Protein Structural Dynamics study, Annotation of Hypothetical protein, Functional and Structural Annotation, Docking, Molecular Dynamics, Active Site Prediction, Protein Folding, Protein Sequence Analysis

Track-3: Computational Systems Biology
Transcriptomics, Microarray Data Analysis, Network/Pathway Analysis, Protein-Protein Interaction, Metabolomics, Epigenomics, ncRNA Prediction and Analysis, DNA Methylation Analysis, Pathway Simulation and Modeling

Track- 4: Biological Data Mining and Analytics
Biological Data Mining, Ontology, Machine Learning and Prediction, Biological Data Visualization, Computational Modeling and Data Integration of Bio-system, High-Performance Computing, Big Data Analytics, Pipelines, and Tools, Bio-inspired Computing

Track- 5: Cognitive Computing 
Complex Data Mining, Ontology, Multimodal Machine Learning, Computational Modeling and Data Integration of Neural System, Cognitive models, Deep Learning and Reinforcement Algorithm