- recipe egap
EGAP pipeline for genome assembly and QC analysis
- Homepage:
- License:
BSD-3-Clause
- Recipe:
EGAP (Entheome Genome Assembly Pipeline) is a versatile bioinformatics pipeline for hybrid genome assembly from Oxford Nanopore, Illumina, and PacBio data. It supports multiple input modes and assembly methods and determines the best based on multiple metrics: BUSCO Completeness (Single + Duplicated), Assembly Contig Count, Assembly N50, Assembly L50, and Assembly GC-content.
- package egap¶
-
- Versions:
3.3.9-0,3.3.8-0,3.3.7-0,3.3.6-0,3.3.5-0,3.3.4-0,3.3c-0,3.2c-0,3.1-0,3.3.9-0,3.3.8-0,3.3.7-0,3.3.6-0,3.3.5-0,3.3.4-0,3.3c-0,3.2c-0,3.1-0,3.1b-0,3.0.0f-0,3.0.0b-0,2.6.6-0,2.6.5-0,2.6.4-0,2.6.2-0,2.5.4-0,2.5.3-0- Depends:
on abyss
>=2.0.2on bamtools
>=2.5.2on bbmap
>=39.15on beautifulsoup4
>=4.12.3on bifrost
>=1.3.5on biopython
>=1.81on busco
>=5.8.2on bwa-mem2
>=2.2.1on compleasm
>=0.2.7on fastqc
>=0.12.1on filtlong
>=0.2.1on flye
>=2.9.5on geopy
>=2.4.1on gfatools
>=0.5on hifiasm
>=0.21.0on jinja2
>=3.1.4on kmc
>=3.2.4on masurca
>=4.1.2on matplotlib-base
>=3.7.3on minimap2
>=2.28on nanoplot
>=1.43.0on ncbi-datasets-cli
>=18.3.1on numpy
>=1.24.3on openpyxl
>=3.1.5on pandas
>=2.0.3on pbccs
>=6.4.0on pilon
>=1.22on psutil
>=6.0.0on purge_dups
>=1.2.6on pyinaturalist
>=0.20on python
>=3.8,<3.9on quast
>=5.2.0on racon
>=1.5.0on ragtag
>=2.1.0on ratatosk
>=0.9.0on requests
>=2.32.3on rich
>=13.3.3on samtools
>=1.21on sepp
>=4.5.1on spades
>=4.0.0on sra-tools
>=3.2.0on tabulate
>=0.9.0on termcolor
>=2.3.0on textual
>=0.4.2on tgsgapcloser
>=1.2.1on trimmomatic
>=0.39
- Additional platforms:
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 egap
to add into an existing workspace instead, run:
pixi add egap
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 egap
Alternatively, to install into a new environment, run:
conda create -n envname egap
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/egap:<tag>
(see egap/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.
Notes¶
This package installs a custom executable named "EGAP" in $PREFIX/bin. Please refer to the upstream GitHub page for usage instructions.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/egap/README.html)