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Siddharth-lab-cmd/README.md

🔗 Live Interactive App: Launch DNA Analyzer

Streamlit App

🧬 Advanced Bioinformatics Script Hub

https://siddharth-lab-cmd-python-bioinformatics-basics-app-k9rrht.streamlit.app/

Welcome to an advanced suite of production-grade computational biology tools. This repository features 36 custom scientific scripts designed to parse genomic matrices, execute complex sequence alignments, and handle heavy data engineering workflows.


⚡ Key Architectural Highlights

  • Cloud Automation Engine: Backed by 41 active matrix workflows for rapid continuous integration.
  • Interdisciplinary Logic: Built with an advanced analytical mindset combining ICSE-level structural logic, mathematical chess variations, and practical application fields.
  • Rote-Free Engineering: Zero hardcoded strings. Every script is a dynamic tool built for data reproducibility.

🗂️ Production Script Directory

🧬 1. Next-Generation Sequencing & Sequence Alignment

  • global_alignment_needleman.py - Complete dynamic programming matrix implementation for optimal global sequence alignments.
  • fastq_quality_filter.py - High-throughput quality scoring and filtering pipeline for raw sequencing files.
  • vcf_variant_parser.py - Heavy-duty matrix filtering to extract SNP and variant calls from structural variant files.

🧪 2. Food Tech & Agricultural Genetics

  • food_pathogen_pcr_primer_designer.py - Algorithmic primer design pipeline built to track foodborne bacterial contamination.
  • phylogenetic_distance_matrix.py - Generates distance matrices to calculate evolutionary trees across agricultural samples.

📊 3. Advanced Multi-Omics Data Operations

  • Includes scripts for custom file format conversion, matrix math operations using NumPy, and fast cellular table parsing pipelines.

🚀 Data Reproducibility Example (Needleman-Wunsch Alignment)

Recruiters can run our core alignment module with standard inputs:

Sample Input

Sequence A: ATCGATCG
Sequence B: ATGGATCG

Processed Output Terminal

[INFO] Initializing Dynamic Programming Scoring Matrix (Match: +1, Mismatch: -1, Gap: -2)
[MATRIX] Shape: (9, 9) successfully initialized.
[ALIGNMENT] Score: 4
[RESULT] Sequence A: ATCGATCG
         Sequence B: ATGGATCG
                     ** *****

🛠️ The Technical Stack

  • Languages: Python 3.x
  • Data Engineering: Pandas, NumPy
  • Scientific Parsing: Biopython, Advanced String Slicing

Maintained with tactical precision by Siddharth-lab-cmd.

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  1. python-bioinformatics-basics python-bioinformatics-basics Public

    Future Bioinformatics Scientist | B.Sc. Food Science & Tech @ BBAU | Python Developer specializing in biological data processing & genomic workflows. 🧬🔬 Core Bioinformatics Toolkit: 32 Custom Pytho…

    Python

  2. Siddharth-lab-cmd Siddharth-lab-cmd Public

    Future Bioinformatics Scientist | B.Sc. Food Science & Tech @ BBAU | Python Developer specializing in biological data processing & genomic workflows. 🧬🔬 Core Bioinformatics Toolkit: 32 Custom Pytho…

    HTML