I'm Adithya
Postgraduate · Computational Biology & Bioinformatics
The Art of
Bioinformatics
I'm Adithya, a postgraduate student in Computational Biology and Bioinformatics with a passion for decoding the complexity of life through data. I specialise in NGS data analytics — exploring how technology can unravel the mysteries of DNA, RNA, and proteins.
Beyond the sequences, I'm a creative mind who loves blending science with design, building visually engaging projects, and experimenting at the intersection of computation and biology. Analytical precision meets creative problem-solving.
Download CVMy Projects
NGS Data Classifier
Hybrid machine learning pipeline for metagenomic classification of next-generation sequencing reads — combining k-mer features with ensemble classifiers.
XTRACT
Python tool that parses FastQC HTML reports and extracts overrepresented sequences, outputting them as a FASTA file for downstream analysis.
Germline Variant Calling
GATK-based SNP & Indel workflow for identifying germline variants in the NBPF1 gene from whole-genome sequencing data.
miRNA Interaction Mapper
Network visualisation tool for mapping miRNA–ceRNA interactions, exploring competing endogenous RNA regulatory relationships.
Metagenome Radar
Interactive microbial abundance visualisation tool for exploring community composition from metagenomic surveys using radar and bar plots.
Protein Structure Predictor
3D protein structure modelling pipeline inspired by AlphaFold, combining sequence features with structure visualisation tools.
My Skills
Programming
Python, R, Perl, HTML, CSS, JavaScript
Bioinformatics
NGS Data Analysis, Variant Calling, Genome Assembly, FastQC, GATK, BWA, STAR
Machine Learning
Classification, Clustering, Model Evaluation, scikit-learn
Data Visualisation
Matplotlib, Seaborn, Plotly, ggplot2, Web Dashboards
Web Design
Responsive UI, CSS Animations, Modern Aesthetics, JavaScript
Tools & Platforms
Linux, Git, Jupyter, Bioconda, WSL, Snakemake