RNAglib: a python']python package for RNA 2.5 D graphs

被引:6
|
作者
Mallet, Vincent [1 ,2 ]
Oliver, Carlos [3 ,4 ]
Broadbent, Jonathan [3 ]
Hamilton, William L. [3 ,4 ]
Waldispuhl, Jerome [3 ]
机构
[1] Inst Pasteur, Dept Struct Biol & Chem, Struct Bioinformat Unit, CNRS UMR3528,C3BI,USR3756, F-75724 Paris, France
[2] Paris Sci & Lettres Res Univ, Ctr Computat Biol, Mines ParisTech, F-75272 Paris, France
[3] McGill Univ, Sch Comp Sci, Montreal, PQ H3A 0E9, Canada
[4] Montreal Inst Learning Algorithms, Montreal, PQ H2S 3H1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
10.1093/bioinformatics/btab844
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:1458 / 1459
页数:2
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