Bioinformatics Researcher

Driving bioinformatics research, innovating solutions, and developing pipelines that power genomic discovery.

About Me

I am a dedicated bioinformatics professional with a strong focus on clinical genomics, next-generation sequencing (NGS), and data-driven pipeline development. With hands-on experience in variant interpretation, NIPT, metagenomics, and fungal/bacterial WGS, I design automated workflows that enhance efficiency and accuracy in diagnostic and research settings.

I actively contribute to the development of reproducible pipelines and robust bioinformatics solutions. As a passionate educator, I also teach bioinformatics principles, making complex analyses accessible to learners and professionals alike. My goal is to bridge biology and computation through scalable, impactful solutions that advance precision medicine and real-world genomic discovery.

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Genomics Focus

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Research Driven

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Innovation Mindset

Skills & Expertise

Genomics & NGS

FASTQ Processing, Whole Genome Sequencing, Metagenomics.
Advanced

Data Analysis & Statistics

RNA-seq Analysis, Differential Expression, Pathway Enrichment, Statistical Modeling, Data Visualization.
Advanced

Programming & Tools

Python, Bash/Linux, Docker, Git/GitHub.
Intermediate+

Clinical Bioinformatics

Sanger Sequencing (Mutation Confirmation), NIPT Analysis, Clinical Genomics, Quality Control, Report Generation.
Intermediate+

Services

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Genomic Data Analysis

Comprehensive analysis of genomic datasets including variant calling, annotation, and interpretation of NGS data

  • Whole Genome Sequencing (Bacteria) Data Analysis
  • Whole Metagenome ShotGun Sequencing Data Analysis
  • Whole Exome Sequencing Data Analysis
  • 16s Metagenomics Data Analysis
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RNA-seq Analysis

End-to-end RNA-Seq data analysis โ€” from raw reads to biological insights. Includes QC, alignment, DEG analysis, pathway enrichment, and visualizations.

  • Differential gene expression analysis
  • Functional Enrichment & Pathway Analysis
  • Data Visualization
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Sanger Sequencing Data Analysis

Comprehensive analysis of Sanger sequencing data for variant detection and sequence validation

  • Mutation detection and validation
  • Chromatogram analysis and interpretation
  • Sanger, 16S rRNA, and 18S-ITS Sequencing Services
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Custom Pipeline Development

Automated bioinformatics workflows and pipeline development

  • Nextflow/Snakemake pipelines
  • Docker containerization
  • Cloud deployment solutions
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Data Visualization

Interactive dashboards and publication-ready visualizations

  • Publication graphics
  • Interactive web dashboards
  • Automated reports
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Training & Consulting

Bioinformatics training and strategic consulting services

  • Team training workshops
  • Software tool selection
  • Project planning & strategy

Coming Soon

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Machine Learning Solutions

Custom ML models for biological data prediction and classification tasks

In Development

Research Interests

Genomics & Proteomics

Developing computational methods for analyzing large-scale genomic and proteomic datasets

Machine Learning in Biology

Applying AI/ML techniques to predict protein structure, function, and drug interactions

Systems Biology

Modeling complex biological networks and pathways using computational approaches

Publications

Integrative immunoinformatics and molecular simulation-based design of a multi-epitope vaccine against hepatitis C virus

Dharmendrasinh F. Rao, Taral Patel, Saumya K. Patel, Himanshu A. Pandya

In Silico Research in Biomedicine

DOI: 10.1016/j.insi.2025.100029

View Paper

Projects

Read2Ring

A lightweight, cross-platform Bash pipeline that downloads SRA data, classifies with Kraken2, and visualizes taxonomic output with Krona.

Bash Kraken2 Krona SRA Toolkit

DeepGenePredictor

DeepGenePredictor is a machine learning project aimed at predicting gene expression levels using a deep neural network. The project leverages PyTorch for building and training the model, and sklearn for data preprocessing and evaluation.

Python PyTorch sklearn Deep Learning

Genomic-Insights

Genomic Insights is an interactive Jupyter-based tool for exploring and analyzing genomic data. It enables visualization, annotation, and interpretation of genetic variants for research and diagnostics.

Python Jupyter Pandas Matplotlib

Decoding-SRR29492069-Comprehensive-Gene-Annotation-via-WGS

A comprehensive pipeline for gene annotation using Whole Genome Sequencing (WGS) data, from raw data retrieval to functional annotation with BLASTX and PANTHER. Designed for Linux systems, it supports de novo assembly and quality control using open-source tools.

WGS BLASTX PANTHER Linux

Pricing

Consultation

โ‚น500/hour
  • Initial project assessment
  • Technical guidance
  • Tool recommendations
  • Strategy planning
  • Video call support
Get Started

Pipeline Development

โ‚น15000/project
  • Custom bioinformatics pipelines
  • Nextflow/Snakemake workflows
  • Docker containerization
  • 6 months support
Contact Me

Note: All projects include an initial consultation to determine scope and provide accurate quotes. Rush projects may incur additional charges.