Explore the fundamentals of bioinformatics including its history, applications, and role in modern biological research.

Learn to navigate and utilize various biological databases to retrieve relevant genetic, genomic, and proteomic information for analysis.

Gain proficiency in analyzing biological sequences (DNA, RNA, and protein) and employing alignment algorithms to compare and identify similarities and differences.

Study the principles of protein structure prediction, molecular modeling techniques, and molecular dynamics simulations to understand protein function and interactions.

Dive into the analysis of genomic and transcriptomic data, including genome assembly, gene expression profiling, and variant calling using bioinformatics tools and software.

Explore metagenomics approaches for studying microbial communities and analyzing microbiome data to understand their composition, diversity, and functional potential.

Discover the principles and applications of next-generation sequencing technologies, including Illumina, Ion Torrent, and PacBio platforms, and learn data analysis techniques for NGS data.

Delve into phylogenetic methods for inferring evolutionary relationships among species and analyzing evolutionary patterns using sequence alignment and tree-building algorithms.

Explore systems biology concepts and network analysis techniques to model and analyze biological systems at the molecular level, including gene regulatory networks and metabolic pathways.

Understand the application of machine learning algorithms and data mining techniques in bioinformatics research for predictive modeling, pattern recognition, and biomarker discovery.