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DEBOPRIYA2320/README.md

๐Ÿ‘ฉโ€๐Ÿ”ฌ Debopriya

Pursuing Post graduate in Biotechnology
๐ŸŒฑ Genomics | ๐Ÿงฌ Bioinformatics | ๐Ÿ’ป Computational Biology | ๐Ÿ“Š Data Analysis & Proteomics


๐Ÿš€ About Me

  • ๐Ÿ”ญ Currently working on bioinformatics, genomics & proteomics projects
  • ๐ŸŽ“ Passionate about computational biology and data-driven research
  • ๐Ÿ“š Interested in integrating biotechnology with computer science
  • ๐Ÿ’ก Always learning new tools for data analysis & visualization

๐Ÿ›  Skills & Tools

  • Languages: Python, R, Bash
  • Bioinformatics Tools: BLAST, SnpEff, HISAT2, Pymol, Snakemake, STAR, featureCounts
  • Data Analysis & Visualization: DESeq2, edgeR, ggplot2, pheatmap, clusterProfiler, DAVID, KEGG, Reactome, STRING

๐Ÿ“‚ Featured Projects


๐Ÿค Connect With Me


Popular repositories Loading

  1. DEBOPRIYA2320 DEBOPRIYA2320 Public

    Biotechnology PG Student, Interested in Genomics, Proteomics & Computational Biology

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  2. Fundamentals-of-R-Programming Fundamentals-of-R-Programming Public

    Collection of basic R programming exercises including vectors, lists, factors, data frames, and data manipulation tasks.

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  3. FASTA-File-Analysis-using-Shell-Scripting FASTA-File-Analysis-using-Shell-Scripting Public

    This repository contains a collection of shell scripts designed for analyzing DNA sequences stored in FASTA files. Each script demonstrates the use of Unix/Linux command-line tools and shell prograโ€ฆ

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  4. Classification-of-biological-databases Classification-of-biological-databases Public

    A project for categorizing and analyzing various biological databases based on their type and content.

  5. pseudomonas-wgs-variant-analysis pseudomonas-wgs-variant-analysis Public

    Comprehensive WGS variant analysis of Pseudomonas aeruginosa (SRR34663677) โ€” includes quality control, alignment (BWA-MEM), variant calling (GATK), annotation (SnpEff), and AMR interpretation.

  6. pseudomonas-rnaseq-enrichment pseudomonas-rnaseq-enrichment Public

    RNA-seq expression and enrichment analysis of Pseudomonas aeruginosa (SigX mutant vs wild-type) using FastQC, fastp, STAR, featureCounts, DESeq2, and STRING to identify antibiotic stress-response pโ€ฆ