seqan-raptor 3.0.0+ds-2 source package in Ubuntu
Changelog
seqan-raptor (3.0.0+ds-2) unstable; urgency=medium
* d/patches/debian_seqan3: set patch to vendored seqan3 libraries.
* d/control: build-dep on seqan3 3.3.0 release candidate.
* d/patches/gcc13*: cherry-pick from upstream to fix gcc-13 build.
Closes: #1037856
-- Michael R. Crusoe <email address hidden> Fri, 14 Jul 2023 14:15:12 +0200
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 | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| seqan-raptor_3.0.0+ds-2.dsc | 2.4 KiB | 777b1487039a76fdc591763cd4fdb530c843fa0a70b17be14fc858dacce75c9b |
| seqan-raptor_3.0.0+ds.orig.tar.xz | 2.4 MiB | d529a0654492f7e414ac323f9ffd92737403d98e387086d81d7b5b84852bb994 |
| seqan-raptor_3.0.0+ds-2.debian.tar.xz | 10.2 KiB | f6bf8b4357946335e2f511c87e053ce89b40c0c8b1958c041779d49f4abc6478 |
Available diffs
- diff from 2.0.0.0.git.fecfbca+ds-3 to 3.0.0+ds-2 (2.3 MiB)
- diff from 3.0.0+ds-1 to 3.0.0+ds-2 (3.6 KiB)
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).
