Govindharajan Mukund
Industrial Biotechnology & Bioinformatics
Industrial Biotechnology undergraduate with hands-on wet lab experience in molecular biology techniques and a growing specialization in computational bioinformatics tools for biological data analysis. Experienced in DNA/RNA isolation, gel electrophoresis, ELISA, and enzyme assays, alongside development of web-based platforms for genomic variant interpretation and in-silico molecular biology workflows.
B.Tech Industrial Biotechnology
Anna University
Relevant Coursework: Cell & Molecular Biology, Genetic Engineering, Immunology, Cancer Biology, Bioinformatics, Mass Transfer Operations
| Molecular Biology & Wet Lab | DNA, RNA & Protein Isolation; Agarose Gel Electrophoresis; ELISA; Enzyme Assays & Kinetics; Cell Transformation; Blood Grouping; Peripheral Smear Preparation |
| Laboratory Practices | Micropipetting, Centrifugation, Reagent Preparation, Sterilization & Safety Protocols, Structured Lab Documentation, Accuracy & Reproducibility |
| Programming & Bioinformatics | Python, C (basic), HTML/CSS, JavaScript, Basic Bioinformatics Workflows, Genomic Variant Interpretation Concepts |
Genome Variant Interpretation Toolkit
Bioinformatics Web AppA full-stack web platform for SNP and CNV analysis supporting batch rsID queries and simulated genomic variant annotation workflows inspired by dbSNP and ClinVar datasets. Built using Python (Flask), HTML/CSS, and JSON-based genomic data models; deployed as an interactive genomics analysis tool.
BioLab Toolkit — DNA Analysis & Primer Design Tool
Molecular Web ToolAn interactive molecular biology web application for DNA sequence analysis, GC content calculation, reverse complement generation, transcription simulation, primer design with melting temperature estimation, and restriction enzyme digestion simulation.
Unified Genomic Variant Database (UGVD)
BioinformaticsA database that integrates critical genomic information that are usually siloed across multiple public repositories, using SQLite. The databases that have been integrated include: dbSNP, for variant identity and location, ensembl, for gene mapping and descriptions, clinVar, for clinical significance and disease associations, and gnomAD, for population-specific allele frequencies
Transcriptomic Landscapes of Breast Cancer Progression: Insights from the TCGA-BRCA Cohort
Bioinformatics analysis using computational methodsThis project investigates transcriptomic differences between Early-stage and Advanced-stage breast cancer using RNA-sequencing data from The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) cohort.
The study was conducted using R and Bioconductor packages including TCGAbiolinks, DESeq2, survival, and survminer.
Landscape analysis of alzheimers disease variants
BioinformaticsA bioinformatics project that explores clinically reported genetic variants associated with Alzheimer's disease using the ClinVar database. The project extracts variants from established Alzheimer's-associated genes, performs data preprocessing, computes custom gene prioritization metrics, and visualizes the variant landscape. Done using python libraries.
Performed DNA isolation, agarose gel electrophoresis, ELISA, and enzyme assay experiments during academic laboratory training. Maintained structured documentation of experimental protocols, observations, and results while adhering to laboratory safety procedures. Demonstrated strong proficiency in micropipetting, reagent preparation, and equipment handling with emphasis on precision and reproducibility.
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Head — Verve (University Biotechnology Magazine)
Led editorial coordination, scientific content review, and contributor management.
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Head of Scriptwriting — Anna University's Premiere Theatre Club
Directed stage productions including narrative development and team coordination.
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TEDx Volunteer & Core Team Member
Assisted in academic event organization and interdisciplinary teamwork.