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github.com/bbuchfink/diamond @v2.2.3

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repository ↗ · DeepWiki ↗ · release v2.2.3 ↗ · + Follow
4,723 symbols 12,463 edges 484 files 257 documented · 5% updated 7d agov2.2.3 · 2026-07-07★ 1,309215 open issues

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README

Introduction

DIAMOND is a sequence aligner for protein and translated DNA searches, designed for high performance analysis of big sequence data. The key features are:

  • Pairwise alignment of proteins and translated DNA at 100x-10,000x speed of BLAST.
  • Clustering protein sequences with high sensitivity and scalability including linear-time scaling and parallelization across many compute nodes.
  • Frameshift alignments for long read analysis.
  • Low resource requirements and suitable for running on standard desktops or laptops.
  • Various output formats, including BLAST pairwise, tabular and XML, as well as taxonomic classification.

Build image image image Conda image image European Galaxy server

Documentation

The online documentation is located at the GitHub Wiki.

Support

DIAMOND is actively supported and developed software. Please use the issue tracker for malfunctions and the GitHub discussions for questions, comments, feature requests, etc. I also provide live support on Discord. Don't be too shy to ask!

Contributing

See Contributing.

About

DIAMOND is developed by Dr. Benjamin J. Buchfink, independent scientist, Tübingen, Germany, supported by the Max Planck Society for the Advancement of Science. From 2019-2024, it was developed by Benjamin J. Buchfink at the Drost lab, Max Planck Institute for Biology Tübingen. From 2018-2019, its development was supported by the German Federal Ministry for Economic Affairs and Energy through an EXIST grant. From 2016-2018, it was developed by Benjamin J. Buchfink as an independent researcher. From 2013-2015, the initial version was developed by Benjamin J. Buchfink at the Huson lab, University of Tübingen, Germany.

[:email:Email] [X] [Bluesky] [LinkedIn] [Google Scholar] [Drost lab] [MPI-BIO]

When using the tool in published research, please cite:

  • Buchfink BJ, Reuter K, Drost HG, \"Sensitive protein alignments at tree-of-life scale using DIAMOND\", Nature Methods 18, 366–368 (2021). doi:10.1038/s41592-021-01101-x

For sequence clustering:

  • Buchfink BJ, Barbé É, Ashkenazy H, Reuter K, Kennedy JA, Drost HG, \"Clustering the protein universe of life using DIAMOND DeepClust\", Nature Methods 23, 724-727 (2026). doi:10.1038/s41592-026-03030-z

Original publication to cite DIAMOND until v0.9.25:

  • Buchfink BJ, Xie C, Huson DH, \"Fast and sensitive protein alignment using DIAMOND\", Nature Methods 12, 59-60 (2015). doi:10.1038/nmeth.3176

Core symbols most depended-on inside this repo

Shape

Method 2,810
Function 1,109
Class 761
Enum 43

Languages

C++100%
C1%

Modules by API surface

src/lib/interval_tree/interval_tree.hpp92 symbols
src/contrib/mcl/clustering_variables.h91 symbols
src/dp/swipe/banded_matrix.h71 symbols
src/basic/match.h63 symbols
src/lib/blast/blastn_score.cpp58 symbols
src/data/sequence_file.cpp57 symbols
src/legacy/dmnd/dmnd.cpp55 symbols
src/output/output_format.h47 symbols
src/data/fasta/fasta_file.cpp46 symbols
src/util/geo/diagonal_segment.h44 symbols
src/data/blastdb/blastdb.cpp43 symbols
src/dp/swipe/full_matrix.h42 symbols

For agents

$ claude mcp add diamond \
  -- python -m otcore.mcp_server <graph>

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