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MMseqs2 desktop and local web server app for fast, interactive sequence searches.

Milot Mirdita1, Martin Steinegger1,2, Johannes Söding1

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Summary
This summary is machine-generated.

The MMseqs2 app enables fast, interactive protein sequence searches on personal computers. It significantly reduces search times while maintaining high sensitivity, making complex analyses more accessible.

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Area of Science:

  • Computational biology
  • Bioinformatics
  • Genomics

Background:

  • Protein sequence analysis is crucial for understanding biological functions.
  • Existing tools can be computationally intensive and time-consuming.
  • Efficient sequence searching is needed for large-scale biological data analysis.

Purpose of the Study:

  • To develop an accessible and efficient tool for interactive protein sequence and profile database searches.
  • To reduce the computational overhead and response times of sequence searching.
  • To provide a user-friendly application for both expert and non-expert users.

Main Methods:

  • Developed a desktop and web server application for MMseqs2.
  • Optimized MMseqs2 to minimize runtime overhead.
  • Integrated custom protein sequence and profile databases.
  • Ensured ease of installation for non-expert users.

Main Results:

  • Achieved response times of a few seconds for sequence searches.
  • Maintained search sensitivities comparable to BLAST.
  • Provided pre-built packages for major operating systems and Docker images.
  • Made the code available under GPLv3 license.

Conclusions:

  • The MMseqs2 app offers a significant improvement in speed and accessibility for protein sequence analysis.
  • The tool empowers researchers to perform interactive searches on personal workstations.
  • Its user-friendly design and availability enhance its utility in various biological research settings.