Skip to main content

Toolkit for working with EMDB-SFF and other segmentation file formats

Project description

Introduction

sfftk is a set of utilities that facilitate creation, conversion and modification of Electron Microscopy Data Bank - Segmentation File Format (EMDB-SFF) files. EMDB-SFF is an open, community-driven file format to handle annotated segmentations and subtomogram averages that facilitates segmentation file interchange. It is written in Python and provides both a command-line suite of commands and a Python API.

Audience

sfftk is primarily targeted but not restricted to biological electron microscopists and developers of image segmentation software.

License

sfftk is free and open source software released under the terms of the Apache License, Version 2.0. Source code is copyright EMBL-European Bioinformatics Institute (EMBL-EBI) 2017.

Data Model

sfftk is built to handle EMDB-SFF files. The corresponding schema (v0.8.0.dev1) may be found at https://emdb-empiar.github.io/EMDB-SFF. Changes to the schema are welcome for discussion at the Segmentation Working Group at https://listserver.ebi.ac.uk/mailman/listinfo/segtrans-wg.

Supported Formats

The following file formats are currently supported (in alphabetical order of extensions):

  • Amira Mesh (.am)

  • SuRVoS (.h5; experimental support)

  • CCP4 Masks (.map)

  • IMOD (.mod)

  • Segger (.seg)

  • Stereolithography (.stl)

  • Amira HyperSurface (.surf)

Contact

Any questions or comments should be addressed to pkorir at ebi dot ac dot uk.

Publications

The EMDB-SFF data model is the result of various community consultations which are published in the following articles:

Getting Started

Obtaining and Installing sfftk

Dependencies

As with any Python software, we recommend installing it in a virtual environment (of your choice). The only dependency that may be needed is numpy which can be installed with

pip install numpy

PyPI

sfftk is available on PyPI meaning that all that one needs to do is run:

pip install sfftk

Source

The sfftk source is available from Github https://github.com/emdb-empiar/sfftk.

Features

sfftk has two principal functions:

  • convert application-specific segmentation file format (AS-SFF) files to EMDB-SFF;

  • annotate EMDB-SFF files against known ontologies.

Conversion

Segmentation files may be converted to EMDB-SFF files using the convert command.

sff convert file.am -o file.sff

For a full description of how to perform conversion, please see the guide to format conversion.

Annotation

Annotation is performed using the notes utility on EMDB-SFF files.

sff notes show -H file.sff

sfftk provides a simple set of tools to allow viewing, searching and modifying annotations associated with the segmentation and individual segments. The added annotations should be either from a public ontology or be an accession from a public database.

See the guide to annotating segmentations for a full treatment.

Miscellaneous

sfftk may also be used for several miscellaneous operations such as:

More information on this can be found in the guide to miscellaneous operations.

Developing with sfftk

sfftk is developed as a set of decoupled packages providing the various functionality. The main classes involved are found in the sfftkrw package. There is also a guide to developing with sfftk which provides useful instructions.

Extending sfftk

sfftk has built with extensibility in mind. It is anticipated that most extension will take the form of supporting additional file formats. Please read the guide to extending sfftk to learn how to do this.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

sfftk-0.10.0.dev0.tar.gz (142.0 kB view details)

Uploaded Source

Built Distribution

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

sfftk-0.10.0.dev0-py3-none-any.whl (326.5 kB view details)

Uploaded Python 3

File details

Details for the file sfftk-0.10.0.dev0.tar.gz.

File metadata

  • Download URL: sfftk-0.10.0.dev0.tar.gz
  • Upload date:
  • Size: 142.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.4

File hashes

Hashes for sfftk-0.10.0.dev0.tar.gz
Algorithm Hash digest
SHA256 233cf3852a24cffb02b27586c3523debb0b25932a75788589702a4a721c94ba1
MD5 642f4738af4bae48c0a972f2791434ca
BLAKE2b-256 af59aec05d96c8c9a34d2cef05361be96e7fb2c37eb49b2b68101af80f8d0207

See more details on using hashes here.

File details

Details for the file sfftk-0.10.0.dev0-py3-none-any.whl.

File metadata

  • Download URL: sfftk-0.10.0.dev0-py3-none-any.whl
  • Upload date:
  • Size: 326.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.4

File hashes

Hashes for sfftk-0.10.0.dev0-py3-none-any.whl
Algorithm Hash digest
SHA256 49c851bdc3c1373d5a1c6e8901e1e5533973e25cfef1309418a0ee718b9a56cd
MD5 644324549a76334c66329b640089bd67
BLAKE2b-256 0be4928b2f6f2ac1ad3e5c0eb04cb0abed44787dc1f76ca50a6b9c6077fd26aa

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