Sequence analysis – Analysis of DNA or protein sequences using various tools and algorithms to identify patterns, variations, and functional motifs.
Genomic data analysis – Analysis of high-throughput genomic data such as RNA-seq, ChIP-seq, and DNA microarrays to identify differentially expressed genes, enriched pathways, and other molecular signatures.
Structural bioinformatics – Prediction of protein structures, binding sites, and protein-protein interactions using various computational methods.
Phylogenetics – Reconstruction of evolutionary relationships among species or genes using various phylogenetic methods and software.
Genome annotation – Identification of genes, promoters, regulatory regions, and other genomic features using various bioinformatics tools and databases.
Metagenomics – Analysis of microbial communities and their interactions in various environments such as soil, water, and human gut.
Systems biology – Integration of multi-omics data to construct network models of biological processes and systems.
Epigenetics – Analysis of DNA modifications and their effects on gene expression using various tools and techniques.
Transcriptomics – Analysis of gene expression patterns and alternative splicing events using RNA-seq and other transcriptomic data.
Proteomics – Analysis of protein expression patterns, post-translational modifications, and protein-protein interactions using various proteomic methods and tools.