seqan-raptor 3.0.1+ds-3build1 source package in Ubuntu
Changelog
seqan-raptor (3.0.1+ds-3build1) mantic; urgency=medium * Rebuild against new libyaml-cpp0.8. -- Gianfranco Costamagna <email address hidden> Sat, 02 Sep 2023 07:20:46 +0200
Upload details
- Uploaded by:
- Gianfranco Costamagna
- Uploaded to:
- Mantic
- Original maintainer:
- Debian Med
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Mantic | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
seqan-raptor_3.0.1+ds.orig.tar.xz | 2.9 MiB | 3fb5f987f3c0e678d5de41ab3f9f66eae37ba5993edb294caa9e8f2c6132a55d |
seqan-raptor_3.0.1+ds-3build1.debian.tar.xz | 9.0 KiB | 79a9c83ade9df999f3e4a1b6274fdf5a175c2acc6d431a2dd593de902bec02ba |
seqan-raptor_3.0.1+ds-3build1.dsc | 2.5 KiB | 10a5b97735445499b8753b41c4a34b6a5ecd5ed92d7b8d96cac61ca5c8acc040 |
Available diffs
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).