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πŸ”¬ About Me

I'm a passionate bioinformatics researcher dedicated to leveraging computational methods to solve biological problems. My work focuses on genomics, proteomics, and systems biology, with a particular interest in developing novel algorithms for biological data analysis.

🧬 Research Interests

  • Genomics & Transcriptomics: RNA-seq analysis, variant calling, and genome assembly
  • Structural Bioinformatics: Protein structure prediction and molecular dynamics simulations
  • Systems Biology: Network analysis and pathway enrichment studies
  • Machine Learning in Biology: Deep learning applications for biological sequence analysis
  • Phylogenetics: Evolutionary analysis and comparative genomics

πŸ› οΈ Technical Skills

Programming Languages

Python R Bash SQL

Bioinformatics Tools & Frameworks

  • Sequence Analysis: BLAST, BWA, STAR, HISAT2, Bowtie2
  • Genomics: GATK, SAMtools, BCFtools, VCFtools
  • RNA-seq: DESeq2, edgeR, Salmon, Kallisto
  • Structural Biology: PyMOL, ChimeraX, GROMACS, OpenMM
  • Machine Learning: scikit-learn, TensorFlow, PyTorch, Keras
  • Data Visualization: matplotlib, seaborn, ggplot2, plotly

Databases & Resources

  • NCBI (GenBank, PubMed, SRA)
  • UniProt, PDB, Pfam
  • KEGG, GO, Reactome
  • TCGA, GTEx, UK Biobank

πŸ”₯ Current Projects

  • πŸ§ͺ GenomeAnalyzer: A comprehensive pipeline for whole genome sequencing analysis
  • 🦠 ProteinFoldNet: Deep learning model for protein secondary structure prediction
  • πŸ“ˆ BioVizToolkit: Interactive visualization tools for biological data
  • 🌱 PlantGenomics: Comparative genomics analysis of plant species

πŸ“Š GitHub Stats

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πŸ† Achievements

  • πŸ“ Published research in peer-reviewed bioinformatics journals
  • 🎀 Presented findings at international bioinformatics conferences
  • πŸ… Contributor to open-source bioinformatics projects
  • πŸŽ“ Certified in computational biology and data science

πŸ“š Recent Publications

  • "Novel approaches to protein structure prediction using deep learning" - Bioinformatics Journal (2024)
  • "Comparative genomics analysis reveals evolutionary patterns in plant genomes" - Nature Computational Biology (2023)
  • "Machine learning applications in RNA-seq data analysis" - BMC Bioinformatics (2023)

🎯 Goals for 2025

  • Develop a new algorithm for multi-omics data integration
  • Contribute to 5 open-source bioinformatics projects
  • Complete advanced course in structural bioinformatics
  • Present research at the ISMB conference

πŸ’‘ "In the intersection of biology and computation lies the future of medicine"

πŸ“§ Feel free to reach out for collaborations or discussions about bioinformatics!

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