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Akashraju245/README.md

Hi there 👋, I'm Akash R

Aspiring Gene-Editing Researcher | Molecular Genetics | Molecular Docking | GWAS | Bioinformatics Pipelines | Python | R
Focused on computational biology, genomics research, and data analysis.

🌱 What I'm Learning

🧬 Bioinformatics Skills

🛠 Tools I Use

✨ currently working on.

# Project Focus
1 📝 Review Paper — Cancer Genetics Hereditary Cancer Syndromes (BRCA1/2, Lynch Syndrome) & Fertility Preservation
2 📝 Review Paper — Gynecologic Genomics GWAS & Molecular Profiling of PCOS
3 📝 Review Paper — Neurogenetics De Novo Mutations, Parental Age & Neurodevelopmental Disorders
4 📝 Review Paper — Epigenetics of Gametogenesis & ART Epigenetic Reprogramming Mechanisms & Offspring Outcomes
5 📝 Review Paper — CRISPR/Gene Editing CRISPR-Cas9 Applications in Cancer & Reproductive Genetic Disorders

Working toward graduate research in gene editing, causal gene identification, and genetic defect repair.

📬 Connect With Me

⭐ Thanks for visiting my profile!

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  1. dna_analyzer.py dna_analyzer.py Public

    A Python script that analyzes a DNA sequence, calculates GC content, converts DNA to RNA, and finds the reverse complement.

    Python

  2. variant-annotation-pipeline variant-annotation-pipeline Public

    Simple genetics variant annotation pipeline in Python

    Python

  3. Gwas-analysis-r Gwas-analysis-r Public

    Simple GWAS analysis using R and Excel data

    R

  4. Drug-Target-Interaction-Prediction Drug-Target-Interaction-Prediction Public

    This project explores how machine learning can be used to predict drug–target interactions using IC50 data. It includes data cleaning, preprocessing, and training a Random Forest model to classify …

    Python 1

  5. Capsaicin-Docking-AutoDock-Vina Capsaicin-Docking-AutoDock-Vina Public

    Molecular docking analysis of Capsaicin using SwissTargetPrediction, AutoDock Vina, and PyMOL.

    1

  6. gwas-variant-prioritization-pipeline gwas-variant-prioritization-pipeline Public

    Analysis and prioritization of GWAS-identified variants associated with Hypertrophic Cardiomyopathy for clinical interpretation.

    Python 1