Skip to main content

STAMP data Exploration and Differential Expression

Project description

STAMPede - STAMP data Exploration and Differential Expression

Documentation pypi: soon install with bioconda Code style: black

Process & analyse STAMP data with ease! STAMPede is built to handle huge datasets with shallow depth, using syntax familiar to scanpy users.

Table of Contents

  1. Installation
  2. Usage
  3. Citation

Installation

Using conda

conda install -c conda-forge -c bioconda stampede

Using pip

Please note: the Pypi package name different. After installing the stampede-sc package, it can be imported as stampede

pip install stampede-sc

Developer installation

Clone the repo

git clone https://github.com/mhlangalab/stampede.git

Change directory into the repo

cd stampede

Create a conda environment

conda env create -n stampede -f requirements.yaml

Activate the conda environment

conda activate stampede

Install the package

pip install -e .

Documentation

Check out our GitHub pages!

Usage

Follow along with the tutorial.ipynb!

Citation

If you used STAMPede in your work, please cite it.

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

stampede_sc-0.2.0.tar.gz (26.9 MB view details)

Uploaded Source

File details

Details for the file stampede_sc-0.2.0.tar.gz.

File metadata

  • Download URL: stampede_sc-0.2.0.tar.gz
  • Upload date:
  • Size: 26.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for stampede_sc-0.2.0.tar.gz
Algorithm Hash digest
SHA256 074c4fa5173762ccbae06771562c94d83d28848ce59dca93a8d31015a14f7f39
MD5 67fe42cbd5dca08d5f65c5e961fda4b6
BLAKE2b-256 49739d11ac63c5e4cea4edaae4c814f2a2c38e6d385860c01ae58506e8e0fdd0

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