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See thedocumentation for detailed information on how to download,install, and compile Raptor.

There may be performance benefits when compiling from source, as Raptor can be optimized for the host system.

conda install -c bioconda -c conda-forge raptor

See thedocumentation for usage.

raptor --help will show available commands. Each command will have a respective help page that can be shown via, e.g.,raptor build --help.

Raptor is being developed byEnrico Seiler, but also incorporates much work fromother members ofSeqAn.

In your academic works (also comparisons and pipelines) please cite:

• Raptor: A fast and space-efficient pre-filter for querying very large collections of nucleotide sequences;Enrico Seiler, Svenja Mehringer, Mitra Darvish, Etienne Turc, and Knut Reinert; iScience 2021 24 (7): 102782.doi:https://doi.org/10.1016/j.isci.2021.102782
• Hierarchical Interleaved Bloom Filter: enabling ultrafast, approximate sequence queries;Svenja Mehringer, Enrico Seiler, Felix Droop, Mitra Darvish, René Rahn, Martin Vingron, and Knut Reinert;Genome Biol 24, 131 (2023). doi:https://doi.org/10.1186/s13059-023-02971-4

Raptor was presented at the25th International Conference on Research in Computational Molecular Biology:

• Slides
• Pre-recorded version of the talk

Please see theLicense section for information on allowed use.

The subdirectoryutil contains applications and scripts related to papers.

Raptor is open-source software. However, certain conditions apply when you (re-)distribute and/or modify Raptor,please see thelicense.