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JFarooq02/README.md

Hi, I’m Javeria, a bioinformatics graduate with experience in analyzing biological data and applying bioinformatics tools, machine learning, and AI to research problems. I create reproducible, high-quality analyses designed for research impact.

This portfolio contains all my semester projects, internships, and self-learned skills, curated to showcase my expertise in bioinformatics, computational biology, and data-driven research. Each project demonstrates my ability to handle real-world biological data, perform rigorous analyses, and develop reproducible workflows.

Research Interests

  • Genomics & Biomarker Discovery
  • Immunoinformatics
  • AI & Data Science in Biology
  • Functional Genomics
  • Metagenomics

Research Skills

Programming Languages: Python, R, SQL, Bash/Linux
Version Control & Collaboration: Git, GitHub
Bioinformatics: Genomics (assembly, annotation, variant analysis); Transcriptomics (RNA-seq, differential expression); Metagenomics (microbiome analysis, taxonomic & functional profiling); Biomarker identification; Protein modeling, docking, and MD simulation
Data Analysis & Visualization: ggplot2, matplotlib, seaborn, Plotly, Power BI
Computational & Predictive Modeling: Machine learning for biological data analysis, including predictive modeling, classification, clustering, and integrative data analysis
Research Skills: Scientific writing, reproducible workflows, experimental design, data interpretation

Future Plans

  • Develop and optimize AI-driven bioinformatics pipelines for large-scale genomic and metagenomic datasets.
  • Contribute to open science and reproducible research, making tools and datasets accessible to the wider scientific community.
  • Engage in collaborative interdisciplinary research, bridging biology, computation, and data science to solve real-world biomedical problems.

Pinned Loading

  1. R_Visualizations R_Visualizations Public

    This repository, R_Analysis_Visualizations, contains data visualizations created using R for exploratory data analysis and result interpretation. The visual outputs include PNG, PDF, and SVG format…

  2. RA-Biomarker-Pipeline RA-Biomarker-Pipeline Public

    This project focuses on the identification of potential biomarkers associated with Rheumatoid Arthritis (RA). It implements a Python-based pipeline that integrates data preprocessing, statistical a…

    Python

  3. RNAseq_Analysis RNAseq_Analysis Public

    A structured repository containing bulk RNA-seq quality control reports, count matrices, processing scripts, and visualization outputs. Includes FastQC HTML reports, transcript and gene count matri…

    HTML

  4. maaslin2-metagenomic-analysis maaslin2-metagenomic-analysis Public

    Association testing and analysis of metagenomic data using MaAsLin2. Includes R scripts, input/output files, and preprocessed datasets for reproducible analysis.

    R

  5. PARP-Residue-Analysis PARP-Residue-Analysis Public

    Python-based pharmacoinformatics project analyzing PARP protein residues, identifying key drug-binding sites, and exploring inter-domain communication.

    Python

  6. Lung-Cancer-Prediction Lung-Cancer-Prediction Public

    Analysis and prediction of lung cancer risk levels using patient health, lifestyle, and environmental data, including preprocessing, exploratory analysis, and machine learning models and Multi-Laye…

    Python