To learn more about RendSeq - eg what it is, what types of questions it can help you solve and how you can generate your own RendSeq data set please visit the
Li lab website, or check out
the Li Lab's 2018 Cell Paper
by Lalanne et al.
Installation
To get started - install our package via pip
pip install rendseq
To learn more about how to use this package -please check out our documentation page.
Contribute
We welcome collaborators on this project! To get started check out our instructions for how to get started as a contributor.
You can also direct all correspondence about this project to our dedicated mailing list: rendseq at mit dot edu
