Phytolrr is an open-source project designed to provide comprehensive tools and resources for predicting plant-specific Leucine-rich repeat (LRR) motifs. The project is divided into two main components: a database and a Python package.
Description: The Phytolrr database allows users to browse information in a website format. This database contains was more than 55,000 predicted LRRs containing protein sequences in various plant species, with highlighted plant-specific LRR segments. It is designed to be easily deployable using Docker.
Docker Image: The Docker image for the database can be found here.
Description: The predict-phytolrr package is a Python library for predicting LRR motifs. It provides tools and functions to facilitate accurate predictions.
PyPI Package: The Python package can be accessed and installed from PyPI.
Phytolrr is open source, and all code is available on GitHub. The project repository is organized into several sub-repositories:
GitHub Project URL: Phytolrr on GitHub
If the corresponding features in the Phyto-LRR program were applied for your analysis, please cite the following paper:
Chen, T. Identification and characterization of the LRR repeats in plant LRR-RLKs. BMC Mol and Cell Biol 22, 9 (2021). https://doi.org/10.1186/s12860-021-00344-y