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GDSC-RCCIIT / gdg-website

official GDG site for RCCIIT,Kolkata
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🧑‍💻: Roadmap for computational biology #477

Closed dev129 closed 2 weeks ago

dev129 commented 2 weeks ago

Title

GitHub Issue: Roadmap for Computational Biology

Title

Develop a Comprehensive Roadmap for Computational Biology

Enhancement Aim

Aim

To create a detailed learning roadmap for computational biology, covering fundamental topics, practical skills, key tools, and advanced applications. This roadmap will guide learners from introductory concepts to advanced techniques used in computational biology, bioinformatics, and genomics.

Changes

Proposed Changes

  1. Divide the Roadmap into Skill Levels

    • Beginner Level: Introduction to biology, genetics basics, fundamentals of computational biology, and essential programming skills.
    • Intermediate Level: Core bioinformatics concepts, data analysis in genomics, protein structure prediction, and biological databases.
    • Advanced Level: Advanced topics like machine learning in biology, network biology, computational genomics, and systems biology.

  2. Outline Essential Tools and Programming Languages

    • Include languages and tools used in computational biology: Python, R, BioPython, BioPerl, BLAST, and data analysis libraries (Pandas, NumPy, SciPy).
    • Explain the purpose of bioinformatics databases like NCBI, Ensembl, and UniProt.

  3. List Key Resources and Tutorials

    • Provide resources including documentation, courses, tutorials, and textbooks focused on computational biology and bioinformatics.
    • Suggested online platforms for learning: Coursera, edX, OpenStax, and MIT OpenCourseWare.

  4. Add Hands-On Project Ideas

    • Project suggestions, such as analyzing genetic sequences, building a gene expression pipeline, protein structure prediction, and comparative genomics.

  5. Create a Visual Learning Path

    • Develop a flowchart or diagram outlining the roadmap from basic biology and programming to complex topics in computational biology and genomics.

  6. Establish a Milestone-Based Progress Tracker

    • Include milestones like "Learn basic Python/R for bioinformatics," "Perform sequence alignment with BLAST," and "Apply machine learning to genomics data."

  7. Invite Community Contributions

    • Encourage community members with expertise in computational biology to contribute additional resources, project ideas, and research publications for each skill level.

Screenshots 📷

No response

Full Name

Devansh Vishwa

Participant Role

gssoc-ext

Guidelines

github-actions[bot] commented 2 weeks ago

Thank you for creating this issue! 🎉 We'll look into it as soon as possible.

github-actions[bot] commented 2 weeks ago

🎉 Thank you for raising an issue in this repository! We’ll review and assign it to you soon. In the meantime, feel free to ⭐ the repo for updates. Stay awesome! 😎

github-actions[bot] commented 2 weeks ago

Hello @dev129! Your issue #477 has been closed. Thank you for your contribution!