Learn bioinformatics.
Apply it to your research.

What you'll learn

• Understand the fundamental principles of protein structure prediction.
• Gain hands-on experience with leading computational tools such as MODELLER, Swiss-Model, I-TASSER, and AlphaFold.
• Learn how to select appropriate templates, perform sequence alignment, and refine protein models for accuracy.
• Explore advanced modeling options, model quality assessment techniques, and confidence score estimation methods.

What you'll learn

• Understand the biological foundations of genomics, transcriptomics, and gene expression
• Explain how NGS and microarray technologies generate gene expression data
• Distinguish between different genomic data types and their appropriate analytical uses
• Interpret common bioinformatics file formats such as FASTA, FASTQ, SAM/BAM, GFF, and VCF

What you'll learn

• Fundamentals of proteomics and bioinformatics
• Techniques for data retrieval from proteomics databases
• Analysis of protein domains, motifs, and structures
• Integration of proteomics data into phylogenetic analysis