Skip to main content

Biobb_mem is a complete code template to promote and facilitate the creation of new Biobbs by the community.

Project description

fair-software.eu

biobb_mem

Introduction

biobb_mem is a BioBB category for membrane analysis and manipulation. biobb_mem allows analysis of membrane properties and manipulation of membrane systems using tools like MDAnalysis and LiPyphilic. Biobb (BioExcel building blocks) packages are Python building blocks that create new layer of compatibility and interoperability over popular bioinformatics tools. The latest documentation of this package can be found in our readthedocs site: latest API documentation.

Version

v5.0.0 2024.2

Installation

Using PIP:

Important: PIP only installs the package. All the dependencies must be installed separately. To perform a complete installation, please use ANACONDA or DOCKER.

Using ANACONDA:

Using DOCKER:

  • Installation:

      docker pull quay.io/biocontainers/biobb_mem:5.0.1--pyhdfd78af_0
    
  • Usage:

      docker run quay.io/biocontainers/biobb_mem:5.0.1--pyhdfd78af_0
    

Using SINGULARITY:

MacOS users: it's strongly recommended to avoid Singularity and use Docker as containerization system.

  • Installation:

      singularity pull --name biobb_mem.sif https://depot.galaxyproject.org/singularity/biobb_mem:5.0.1--pyhdfd78af_0
    
  • Usage:

      singularity exec biobb_mem.sif <command>
    

The command list and specification can be found at the Command Line documentation.

Copyright & Licensing

This software has been developed in the MMB group at the BSC & IRB for the European BioExcel, funded by the European Commission (EU H2020 823830, EU H2020 675728).

Licensed under the Apache License 2.0, see the file LICENSE for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

biobb_mem-5.0.1.tar.gz (16.3 kB view details)

Uploaded Source

Built Distribution

biobb_mem-5.0.1-py3-none-any.whl (18.9 kB view details)

Uploaded Python 3

File details

Details for the file biobb_mem-5.0.1.tar.gz.

File metadata

  • Download URL: biobb_mem-5.0.1.tar.gz
  • Upload date:
  • Size: 16.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.8

File hashes

Hashes for biobb_mem-5.0.1.tar.gz
Algorithm Hash digest
SHA256 bb82d828a3be20ca577162aca4ae9a7073598a08f181e079277c7f13f1e1950c
MD5 5762a846679b27c1385f13a4bc4f5e16
BLAKE2b-256 f9f039a97a739c551169fda3fabc05145d603fb760ed96e6fc234944ddf6b615

See more details on using hashes here.

File details

Details for the file biobb_mem-5.0.1-py3-none-any.whl.

File metadata

  • Download URL: biobb_mem-5.0.1-py3-none-any.whl
  • Upload date:
  • Size: 18.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.8

File hashes

Hashes for biobb_mem-5.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0f2a816f511ae4d9c54f2fd636cb5d04861335a20fb48d9f72114168845883ca
MD5 02b4f9c7481f0f6e4dea08fe779e940c
BLAKE2b-256 669a71ca193cf41acb47c0bc8f2e02c3930c1fe28e509b65b38386db25f09d90

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page