Treffer: RNAglib: a python package for RNA 2.5 D graphs.

Title:
RNAglib: a python package for RNA 2.5 D graphs.
Authors:
Mallet, Vincent1,2 (AUTHOR), Oliver, Carlos3,4 (AUTHOR) rnaglib@cs.mcgill.ca, Broadbent, Jonathan3 (AUTHOR), Hamilton, William L3,4 (AUTHOR), Waldispühl, Jérôme3 (AUTHOR) rnaglib@cs.mcgill.ca
Source:
Bioinformatics. 3/1/2022, Vol. 38 Issue 5, p1458-1459. 2p.
Database:
Academic Search Index

Weitere Informationen

Summary RNA 3D architectures are stabilized by sophisticated networks of (non-canonical) base pair interactions, which can be conveniently encoded as multi-relational graphs and efficiently exploited by graph theoretical approaches and recent progresses in machine learning techniques. RNAglib is a library that eases the use of this representation, by providing clean data, methods to load it in machine learning pipelines and graph-based deep learning models suited for this representation. RNAglib also offers other utilities to model RNA with 2.5 D graphs, such as drawing tools, comparison functions or baseline performances on RNA applications. Availability and implementation The method is distributed as a pip package, RNAglib. Data are available in a repository and can be accessed on rnaglib's web page. The source code, data and documentation are available at https://rnaglib.cs.mcgill.ca. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]