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fasta

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This notebook does the analysis of a protein sequence dataset in FASTA format. It addresses challenges in data import, alignment, embedding, and classification using bioinformatics tools and machine learning techniques. The solution provides a systematic approach to extract insights from structured data, crucial for bioinformatics research.

  • Updated Jun 14, 2024
  • Jupyter Notebook

This project is created by the Hao Lab at the Chemistry Department in George Washington University, Washington, D.C..(Publication pending) This project aims to provide contaminant protein FASTA and spectral libraries that can be universally applied to DDA and DIA proteomics and freely accessible for the proteomics community.

  • Updated Jun 6, 2024

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