metaeuk 6-a5d39d9+ds-5 source package in Ubuntu
Changelog
metaeuk (6-a5d39d9+ds-5) unstable; urgency=medium
* Team upload.
* d/control: simplify architecture list using the provisions from the
architecture-properties package.
* d/rules: ensure that the openmp-simd and other relevant SIMDe build
flags are set.
* d/patches/debian-libs.patch: mark as not needing forwarding to
upstream.
-- Michael R. Crusoe <email address hidden> Mon, 25 Mar 2024 16:55:09 +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 | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| metaeuk_6-a5d39d9+ds-5.dsc | 2.1 KiB | 389482def411fafd20b0a66858d5f1592a94471eff13f929faffce0a87e61736 |
| metaeuk_6-a5d39d9+ds.orig.tar.xz | 6.6 MiB | 82b205a92de13b8e0f5a9933bbf631f3a4e808ee9fe4783022b3458cfe4cf5ce |
| metaeuk_6-a5d39d9+ds-5.debian.tar.xz | 7.7 KiB | ea90f8c9e0c3c9d7154f085b741403e9f83c9a6f65c4a552763da0843d4b192d |
Available diffs
No changes file available.
Binary packages built by this source
- metaeuk: sensitive, high-throughput gene discovery and annotation for metagenomics
MetaEuk is a modular toolkit designed for large-scale gene discovery and
annotation in eukaryotic metagenomic contigs. MetaEuk combines the fast and
sensitive homology search capabilities of MMseqs2 with a dynamic programming
procedure to recover optimal exons sets. It reduces redundancies in multiple
discoveries of the same gene and resolves conflicting gene predictions on the
same strand.
- metaeuk-dbgsym: debug symbols for metaeuk
- metaeuk-examples: optional resources for the metaeuk package
MetaEuk is a modular toolkit designed for large-scale gene discovery and
annotation in eukaryotic metagenomic contigs. MetaEuk combines the fast and
sensitive homology search capabilities of MMseqs2 with a dynamic programming
procedure to recover optimal exons sets. It reduces redundancies in multiple
discoveries of the same gene and resolves conflicting gene predictions on the
same strand.
.
This package contains example sequences for testing etc.
