Govindharajan Mukund

Biotechnology undergraduate specializing in computational genomics and bioinformatics tool development. I build web-based platforms for genomic variant interpretation, pathogenicity prediction, and population-scale allele frequency modeling.

Wet lab background in DNA/RNA isolation, gel electrophoresis, ELISA, and enzyme kinetics — combined with Python-based pipeline development, full-stack Flask applications, and machine learning models for variant classification.

• 01.
  Genome Variant Interpretation Toolkit

  Full-stack bioinformatics platform for SNP and CNV analysis. Batch rsID queries, genomic coordinate mapping, and variant annotation pipelines inspired by dbSNP / ClinVar datasets.

  Live Demo GitHub
• 02.
  BioLab Toolkit

  Web-based DNA sequence analysis platform. GC content, transcription/translation simulation, ORF detection, codon usage analysis, primer design with Tm estimation, restriction enzyme digestion.

  Live Demo GitHub
• 03.
  Variant Predictor

  AI-based pathogenicity prediction tool. Classifies genomic mutations as benign or pathogenic using both full DNA sequences and specific codon-level features via machine learning models.

  Live Demo GitHub