- recipe mmseqs2
MMseqs2: ultra fast and sensitive sequence search and clustering suite
- Homepage:
- License:
GPLv3
- Recipe:
- Links:
doi: 10.1038/nbt.3988, doi: 10.1038/s41467-018-04964-5, doi: 10.1093/bioinformatics/bty1057, doi: 10.1101/2020.11.27.401018, biotools: mmseqs2, biotools: linclust
- package mmseqs2¶
-
- Versions:
14.7e284-2
,14.7e284-1
,14.7e284-0
,13.45111-2
,13.45111-1
,13.45111-0
,12.113e3-2
,12.113e3-1
,12.113e3-0
,14.7e284-2
,14.7e284-1
,14.7e284-0
,13.45111-2
,13.45111-1
,13.45111-0
,12.113e3-2
,12.113e3-1
,12.113e3-0
,11.e1a1c-0
,10.6d92c-0
,9.d36de-0
,8.fac81-1
,7.4e23d-1
,6.f5a1c-1
,5.9375b-1
,4.bff50-1
,4.0b8cc-1
,3.be8f6-1
,3.be8f6-0
,2.23394-0
- Depends:
_openmp_mutex
>=4.5
bzip2
>=1.0.8,<2.0a0
libgcc-ng
>=12
libstdcxx-ng
>=12
libzlib
>=1.2.13,<1.3.0a0
perl
>=5.32.1,<5.33.0a0 *_perl5
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install mmseqs2
and update with:
conda update mmseqs2
or use the docker container:
docker pull quay.io/biocontainers/mmseqs2:<tag>
(see mmseqs2/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/mmseqs2/README.html)