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A comprehensive suite of bioinformatics tools designed to facilitate the analysis, visualization, and interpretation of genomic, transcriptomic, and proteomic data. Whether you're working with sequence alignment, phylogenetics, or large-scale omics data, BioToolkit provides efficient and user-friendly solutions to accelerate your research.

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BioToolkit

BioToolkit is a comprehensive suite of bioinformatics tools designed to facilitate the analysis, visualization, and interpretation of genomic, transcriptomic, and proteomic data. Whether you're working with sequence alignment, phylogenetics, or large-scale omics data, BioToolkit provides efficient and user-friendly solutions to accelerate your research.

Features

  • Sequence Analysis: Tools for DNA, RNA, and protein sequence alignment and manipulation.
  • Phylogenetics: Efficient tools for building and visualizing phylogenetic trees.
  • Genomics: Tools for genome assembly, annotation, and comparison.
  • Transcriptomics: Analysis of RNA-Seq data, including differential expression and splicing analysis.
  • Proteomics: Protein structure prediction, annotation, and mass spectrometry data analysis.
  • Data Visualization: Generate publication-quality plots and visualizations of biological data.

Installation

To install BioToolkit, clone the repository and install the required dependencies:

git clone https://github.com/RohanNathHERE/BioToolkit.git
cd BioToolkit
# Install dependencies if applicable

Usage

You can use the various tools in BioToolkit by running the corresponding scripts. Here's an example of how to use the protein analysis tool:

python protein_analysis.py data/test.fasta

Test Data

The data/ folder contains example test data for the tools. For instance, you can use the file test.fasta to test the protein analysis script as shown above.

Check the docs/ folder for detailed documentation on each tool.

Contributing

We welcome contributions from the community! To contribute, please follow these steps:

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature/new-feature).
  3. Commit your changes (git commit -m 'Add new feature').
  4. Push to the branch (git push origin feature/new-feature).
  5. Create a pull request.

Please ensure that your code adheres to the coding standards and includes appropriate tests.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For any questions or issues, please open an issue in the GitHub repository or contact the maintainer at:
Email: rohann20@iiserbpr.ac.in


BioToolkit

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A comprehensive suite of bioinformatics tools designed to facilitate the analysis, visualization, and interpretation of genomic, transcriptomic, and proteomic data. Whether you're working with sequence alignment, phylogenetics, or large-scale omics data, BioToolkit provides efficient and user-friendly solutions to accelerate your research.

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