recipe parasail

Pairwise Sequence Alignment Library

Homepage:

https://github.com/jeffdaily/parasail

License:

MIT / MIT

Recipe:

/parasail/meta.yaml

Links:

doi: 10.1186/s12859-016-0930-z

parasail is a SIMD C (C99) library containing implementations of the Smith-Waterman (local), Needleman-Wunsch (global), and various semi-global pairwise sequence alignment algorithms. Here, semi-global means insertions before the start or after the end of either the query or target sequence are optionally not penalized. parasail implements most known algorithms for vectorized pairwise sequence alignment, including diagonal [Wozniak, 1997], blocked [Rognes and Seeberg, 2000], striped [Farrar, 2007], and prefix scan [Daily, 2015]. Therefore, parasail is a reference implementation for these algorithms in addition to providing an implementation of the best-performing algorithm(s) to date on today's most advanced CPUs.

package parasail

(downloads) docker_parasail

Versions:

2.6.2-1,  2.6.2-0

Depends:

  • on _openmp_mutex >=4.5

  • on libgcc >=13

  • on libstdcxx >=13

  • on libzlib >=1.3.1,<2.0a0

Additional platforms:
linux-aarch64,  osx-arm64

Installation

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install parasail

to add into an existing workspace instead, run:

pixi add parasail

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install parasail

Alternatively, to install into a new environment, run:

conda create -n envname parasail

with envname being the name of the desired environment.

Container

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

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

(see parasail/tags for valid values for <tag>).

Integrated deployment

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

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