Skip to main content

EMBuild: Model building of protein complexes from intermediate-resolution cryo-EM maps with deep learning-guided automatic assembly

Project description

EMBuild plugin

EMBuild: Model building of protein complexes from intermediate-resolution cryo-EM maps with deep learning-guided automatic assembly.

Installing the plugin

In order to install the plugin follow these instructions:

Install the plugin

scipion installp -p scipion-em-embuild

or through the plugin manager by launching Scipion and following Configuration >> Plugins

To install in development mode

  • Clone or download the plugin repository

git clone https://github.com/scipion-em/scipion-em-embuild.git
  • Install the plugin in developer mode.

scipion installp -p local/path/to/scipion-em-embuild --devel

Buildbot status

Status devel version:

http://scipion-test.cnb.csic.es:9980/badges/embuild_devel.svg

Status production version:

http://scipion-test.cnb.csic.es:9980/badges/embuild_prod.svg

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

scipion-em-embuild-1.0.4.tar.gz (23.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

scipion_em_embuild-1.0.4-py3-none-any.whl (33.8 kB view details)

Uploaded Python 3

File details

Details for the file scipion-em-embuild-1.0.4.tar.gz.

File metadata

  • Download URL: scipion-em-embuild-1.0.4.tar.gz
  • Upload date:
  • Size: 23.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for scipion-em-embuild-1.0.4.tar.gz
Algorithm Hash digest
SHA256 cf79a21256da226a58916cc19601c898eba69b8583467a89bab11b3ddffd86f2
MD5 1ab069b801bdb16b251e2808ec3e4674
BLAKE2b-256 954ff6a8da645b288ac5ccd3689c8d4df1ba5bfc741c465292571d5ded4f2742

See more details on using hashes here.

File details

Details for the file scipion_em_embuild-1.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for scipion_em_embuild-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 121c0383d1e4deb74a529b109b4604e1dba7073bc2a2cec1e2bd41fab1a54e9a
MD5 11cedc37ec39eb012e3108d4940b53d8
BLAKE2b-256 505a7d2e2e3031e0b59a20a58c856b680dd848ef35ce860319a7f5671654deb1

See more details on using hashes here.

Supported by

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