Skip to main content

Fasta renderer for JupyterLab

Project description

jupyterlab-fasta

A JupyterLab extension for rendering Fasta data. This extension uses the MSA Fasta viewer.

demo

Requirements

  • JupyterLab >= 3.0

Install

pip install jupyterlab-fasta

Usage

To render fasta output in IPython:

from IPython.display import display

def Fasta(data=''):
    bundle = {}
    bundle['application/vnd.fasta.fasta'] = data
    bundle['text/plain'] = data
    display(bundle, raw=True)

Fasta(""">SEQUENCE_1
MTEITAAMVKELRESTGAGMMDCKNALSETNGDFDKAVQLLREKGLGKAAKKADRLAAEG
LVSVKVSDDFTIAAMRPSYLSYEDLDMTFVENEYKALVAELEKENEERRRLKDPNKPEHK
IPQFASRKQLSDAILKEAEEKIKEELKAQGKPEKIWDNIIPGKMNSFIADNSQLDSKLTL
MGQFYVMDDKKTVEQVIAEKEKEFGGKIKIVEFICFEVGEGLEKKTEDFAAEVAAQL
>SEQUENCE_2
SATVSEINSETDFVAKNDQFIALTKDTTAHIQSNSLQSVEELHSSTINGVKFEEYLKSQI
ATIGENLVVRRFATLKAGANGVVNGYIHTNGRVGVVIAAACDSAEVASKSRDLLRQICMH""")

To render a .fasta file, simply open it.

Contributing

Development install

Note: You will need NodeJS to build the extension package.

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the jupyterlab-fasta directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run build

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the jlpm run build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

jupyter lab build --minimize=False

Uninstall

pip uninstall jupyterlab-fasta

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

jupyterlab-fasta-3.2.0.tar.gz (159.8 kB view details)

Uploaded Source

Built Distribution

jupyterlab_fasta-3.2.0-py3-none-any.whl (312.1 kB view details)

Uploaded Python 3

File details

Details for the file jupyterlab-fasta-3.2.0.tar.gz.

File metadata

  • Download URL: jupyterlab-fasta-3.2.0.tar.gz
  • Upload date:
  • Size: 159.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for jupyterlab-fasta-3.2.0.tar.gz
Algorithm Hash digest
SHA256 e9ce735b59bf25a0882dd8fdfe0de4b612e1890adf96eef859ae259b2bedc2b5
MD5 cbe9836f8f0e0ff5dbcc9e7d1c9b53c6
BLAKE2b-256 bb590523e4a842b02343f23942d42c1fc4dcfd7921b7a4e13712f301a81a45a0

See more details on using hashes here.

File details

Details for the file jupyterlab_fasta-3.2.0-py3-none-any.whl.

File metadata

  • Download URL: jupyterlab_fasta-3.2.0-py3-none-any.whl
  • Upload date:
  • Size: 312.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for jupyterlab_fasta-3.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9b6ea7bc0386d35bc939948f62a566abbd124b49bf2c965e38b51e9ea62c1425
MD5 3bc5644106c861fdbc94984fc5789d2f
BLAKE2b-256 c7b55b0700a07950dcfa24d59db9ec207c9f77e2123a35b81fd6aed59ab789ca

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