STREAM2

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STREAM2: Fast, scalable, and interactive trajectory analysis of single-cell omics data

STREAM2 최신버젼 다운로드

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# STREAM2
STREAM2 (**S**ingle-cell **T**rajectories **R**econstruction, **E**xploration **A**nd **M**apping) is an interactive pipeline capable of disentangling and visualizing complex trajectories from for single-cell omics data.

Installation
------------
```sh
$ pip install git+https://github.com/pinellolab/STREAM2
```

Tutorials
---------
Preliminary tutorials for the usage of STREAM2 can be found at **STREAM2_tutorials** repository https://github.com/pinellolab/STREAM2_tutorials.

Description
-----------
The four key innovations of STREAM2 are: 
1) STREAM2 can learn more biologically meaningful trajectories in a semi-supervised way by leveraging external information (e.g. time points, FACS labels, predefined relations of clusters, etc.); 
2) STREAM2 is able to learn not only linear or tree-like structures but also more complex graphs with loops or disconnected components; 
3) STREAM2 supports trajectory inference for various single-cell assays such as gene expression, chromatin accessibility, protein expression level, and DNA methylation; 
4) STREAM2 introduces a flexible path-based marker detection procedure. In addition, we provide a scalable and fast python package along with a comprehensive documentation website to facilitate STREAM2 analysis.

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STREAM2

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