Skip to main content

Spatial Isoform Finder detects spatially variable isoforms in long-read spatial data

Project description

Spatial Isoform Finder (Spl-IsoFind)

Spl-IsoFind can be used to detect spatially variable isoforms in long-read spatial transcriptomics data.

Installation

SplIsoFind requires Python 3.9 or higher. The easiest way to install is through the following command:

pip install SplIsoFind

Tutorials

The tutorial folder contains notebooks to run Spl-IsoFind on demo data. See the documentation for more information. The demo datasets can be downloaded here:

For citation and further information please refer to our preprint

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

splisofind-0.1.3.tar.gz (17.0 kB view details)

Uploaded Source

Built Distribution

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

splisofind-0.1.3-py3-none-any.whl (17.4 kB view details)

Uploaded Python 3

File details

Details for the file splisofind-0.1.3.tar.gz.

File metadata

  • Download URL: splisofind-0.1.3.tar.gz
  • Upload date:
  • Size: 17.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for splisofind-0.1.3.tar.gz
Algorithm Hash digest
SHA256 c8125fd6ad053b2d65fcbc7ed44781a648124366b5d10e423440fdfce0a25c46
MD5 57d3d5ac24a8f1136be4831a44c03859
BLAKE2b-256 286a038f6e7f815a3753a6a0c64eee3c36010fed0fa1882fd0dacacb50e2b61a

See more details on using hashes here.

File details

Details for the file splisofind-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: splisofind-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 17.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for splisofind-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 07a89b720d52350705db9aee983efd0af69bdd11166f0b5eed26a28693bcc280
MD5 33180bdffc27c0d77ebd38c96bdeef4c
BLAKE2b-256 4b84649e0edf1feb59ff680c889e059ce978b31a6b35bfd3e3d1aa0c44c23c9e

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