recipe rnashapes

RNAshape abstraction maps structures to a tree-like domain of shapes, retaining adjacency and nesting of structural features, but disregarding helix lengths. Shape abstraction integrates well with dynamic programming algorithms, and hence it can be applied during structure prediction rather than afterwards. This avoids exponential explosion and can still give us a non-heuristic and complete account of properties of the molecule's folding space.

Homepage:

https://bibiserv.cebitec.uni-bielefeld.de/rnashapes

License:

GPLv3+

Recipe:

/rnashapes/meta.yaml

Links:

doi: 10.1093/bioinformatics/btu649

package rnashapes

(downloads) docker_rnashapes

Versions:
3.3.2-23.3.2-13.3.2-03.3.0-73.3.0-63.3.0-53.3.0-43.3.0-33.3.0-0

3.3.2-23.3.2-13.3.2-03.3.0-73.3.0-63.3.0-53.3.0-43.3.0-33.3.0-02.1.6-42.1.6-32.1.6-22.1.6-12.1.6-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install rnashapes

and update with:

conda update rnashapes

or use the docker container:

docker pull quay.io/biocontainers/rnashapes:<tag>

(see rnashapes/tags for valid values for <tag>)

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