Source: seqan-raptor Section: science Priority: optional Maintainer: Debian Med Packaging Team Uploaders: Michael R. Crusoe Build-Depends: debhelper-compat (= 13), cmake, libseqan3-dev (>= 3.2.0+ds-5), libgtest-dev, libxxhash-dev, libcereal-dev, libsimde-dev, pkg-config, doxygen , texlive-font-utils , texlive-latex-base , texlive-latex-recommended , texlive-latex-extra , texlive-plain-generic , texlive-fonts-recommended , ghostscript Standards-Version: 4.6.1 Vcs-Browser: https://salsa.debian.org/med-team/seqan-raptor Vcs-Git: https://salsa.debian.org/med-team/seqan-raptor.git Homepage: https://github.com/seqan/raptor Rules-Requires-Root: no Package: seqan-raptor Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends} Description: pre-filter for querying very large collections of nucleotide sequences Raptor is a system for approximately searching many queries such as next-generation sequencing reads or transcripts in large collections of nucleotide sequences. Raptor uses winnowing minimizers to define a set of representative k-mers, an extension of the interleaved Bloom filters (IBFs) as a set membership data structure and probabilistic thresholding for minimizers. This approach allows compression and partitioning of the IBF to enable the effective use of secondary memory. Package: seqan-raptor-doc Architecture: all Depends: ${misc:Depends} Section: doc Description: HTML & PDF documentation for seqan-raptor and its APIs Raptor is a system for approximately searching many queries such as next-generation sequencing reads or transcripts in large collections of nucleotide sequences. Raptor uses winnowing minimizers to define a set of representative k-mers, an extension of the interleaved Bloom filters (IBFs) as a set membership data structure and probabilistic thresholding for minimizers. This approach allows compression and partitioning of the IBF to enable the effective use of secondary memory. . This package contains Raptor's docs (HTML & PDF).