Stochastic Sampling of Structural Contexts Improves the Scalability and Accuracy of RNA 3D Module Identification

DOI10.1007/978-3-030-45257-5_12zbMath1500.92081OpenAlexW3017302601MaRDI QIDQ5040362

Roman Sarrazin-Gendron, Jérôme Waldispühl, Hua-Ting Yao, Carlos G. Oliver, Vladimir Reinharz, Yann Ponty

Publication date: 14 October 2022

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-45257-5_12

zbMATH Keywords

RNA structure predictionRNA 3D modulesRNA modules identification in sequence

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20) Computational methods for problems pertaining to biology (92-08)

Uses Software

• SciPy
• ViennaRNA
• GitHub
• NNDB
• Kraken
• Pgmpy

Cites Work

• Unnamed Item

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