Resources & Tutorials

Explore a small, beginner-friendly DNA dataset designed for learning sequence analysis. This sample FASTA dataset can be used to practice sequence inspection, nucleotide composition, k-mer counting, similarity analysis, clustering, and introductory phylogenetic workflows.

New to computational biology? This practical learning path introduces the essential concepts, tools, algorithms, and workflows used to turn biological sequences into meaningful data. Start with FASTA files and sequence analysis, then progress through phylogenetics, machine learning, and AI-driven genomics.

FastTree is a fast and scalable tool for inferring phylogenetic trees from aligned DNA or protein sequences. This beginner-friendly guide explains how FastTree works, how to prepare your alignment, run your first analysis, interpret the resulting tree, and understand when an alignment-based tool like FastTree is appropriate.

Before artificial intelligence can learn from DNA, genomes must first be transformed into machine-readable representations. Learn how k-mers work, why they are fundamental to computational biology, and how they power everything from genome comparison to modern AI models.

Alignment-free genomics is changing how scientists compare DNA and protein sequences at scale. Learn the concepts behind this growing field, why researchers are moving beyond traditional sequence alignment, and how artificial intelligence is opening new possibilities for biological discovery.