Welcome to my repository of solutions for the Rosalind bioinformatics platform. This project serves as a log of my journey through algorithmic biology.
You can view my Rosalind profile and progress here: mahoon2 on Rosalind
🐍 Phase 0: Python Village
Goal: Familiarize with the Python environment. This introductory track covers the fundamentals of Python syntax, including variables, strings, and loops, laying the groundwork for more complex tasks.
Status: ✅ Completed
🏔️ Phase 1: Algorithmic Heights
Goal: Master standard algorithms. This section delves into undergraduate-level computer science algorithms essential for bioinformatics, such as data sorting (Merge Sort) and graph theory (2-SAT, BFS/DFS).
Status: 🚧 In Progress
🛡️ Phase 2: Bioinformatics Armory
Goal: Utilize existing bioinformatics tools. Instead of writing algorithms from scratch, this track focuses on using pre-existing, industry-standard software. It involves handling file formats like FASTA/FASTQ and applying tools such as MEME, EMBOSS, and FASTQC.
Status: ⬜ To-Do
📚 Phase 3: Bioinformatics Textbook
Goal: Implement algorithms from the "Bioinformatics Algorithms" textbook. This track accompanies the classic textbook, requiring implementation of core algorithms.
Note: Additional solutions related to this track can be found in my secondary repository.
Status: ⬜ To-Do
Phase 4: Bioinformatics Stronghold
Goal: Tackle real-world biological problems. This is the primary track of Rosalind. It requires synthesizing knowledge from previous sections to solve practical challenges in computational biology.
Status: ⬜ To-Do