Biological Big Data Analytics

Biological modeling and simulation (Molecular and cellular modeling, stochastic and rulebased modeling, modeling languages and systems);

Biomedical image processing (Image segmentation and classification, visualization, functional and molecular imaging);

Biomedical data and literature mining (Data integration, knowledge discovery from electronic medical records and scientific literature);

Computational genetic epidemiology (Linkage and association analysis, gene-gene and gene-environment interaction modeling, genetic risk analysis);

Computational metabolomics (Metabolomics databases, metabolite identification, spectral analysis, metabolic network modeling);

Computational proteomics (Peptide identification and quantification, post-translational modifications, protein-protein interactions );

Databases and ontologies (Biomedical data warehouses, database integration, biomedical ontologies and semantic web services);

Gene regulation (Regulatory motifs and modules, post-transcriptional regulation, regulatory networks);

Genome analysis (Genome assembly, genome annotation, comparative genomics, metagenomics);

Health Informatics (Medical data management and privacy, medical recommender systems, therapy optimization);

High-performance bio-computing (Cloud and grid computing, advanced multi-core, GPU, and FPGA biomedical applications);

Immunoinformatics (Epitope prediction, vaccine design, immune system simulators);

Molecular evolution (Models of evolution, reconstruction of phylogenetic trees and networks, comparative genomics);

Population genomics (Haplotype and recombination analysis, structural genomic variation, signatures of natural selection);

Sequence analysis (Multiple sequence alignment, motif discovery, sequence search and clustering);

Structural bioinformatics (RNA and protein structure prediction and classification, molecular docking, RNA and protein design);

Systems biology (Systems approaches to molecular biology, multi-scale modeling, biological networks, synthetic biology);

Transcriptomics (Microarray and sequencing-based transcriptome profiling, novel transcript discovery, alternative splicing, non-coding RNA analysis).