seqan-raptor 2.0.0.0.git.fecfbca+ds-3 source package in Ubuntu

Changelog

seqan-raptor (2.0.0.0.git.fecfbca+ds-3) unstable; urgency=medium

  * Append the CPPFLAGS, not overwrite it
  * Don't compile with -march=native
  * Revert: Upstream says doxygen docs aren't ready yet, so skip that for now.
  * Also include man page for raptor build
  * d/rules: build hardening
  * d/control: remove first-person language from the descriptions
  * d/control: -doc goes in the doc section
  * d/patches/spelling: fix a typo

 -- Michael R. Crusoe <email address hidden>  Tue, 01 Nov 2022 13:00:02 +0100

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe misc

Downloads

File Size SHA-256 Checksum
seqan-raptor_2.0.0.0.git.fecfbca+ds-3.dsc 2.4 KiB d5726766a8b838eb34943b72e174611d1a05dba52d4c4b468873fe2c243e3781
seqan-raptor_2.0.0.0.git.fecfbca+ds.orig.tar.xz 1.8 MiB f9c3f957edf754e7b7c05c6b1a551efedf731355de1577698bb619134bffa42c
seqan-raptor_2.0.0.0.git.fecfbca+ds-3.debian.tar.xz 6.9 KiB 380d2e0a94f092928b3e85bf8ef128f5e21554ae4d52f0ea5063b14f7c7aec4b

No changes file available.

Binary packages built by this source

seqan-raptor: 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.

seqan-raptor-dbgsym: debug symbols for seqan-raptor
seqan-raptor-doc: 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).