Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
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Updated
May 28, 2024 - Python
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
nucleic acid folding
Code for our Nature Scientific Reports paper "A universal framework for accurate and efficient geometric deep learning of molecular systems"
pdb-mode is an emacs-lisp minor mode for Emacs to perform a number of useful editing functions on Protein DataBank (PDB) formatted files. XEmacs and/or GNU Emacs are available for most computing platforms.
Curated structures submitted to the RNA-Puzzles experiment. Download as a zip file https://github.com/mmagnus/RNA-Puzzles-submission/archive/master.zip
RNA 3D structure prediction using multiple sequence alignment information docs @ http://EvoClustRNA.rtfd.io
RiboNucleic Acid (RNA) Language Model
RNA Pseudoknotted Secondary Structure Prediction Using Strict Hierarchical Folding
RNA Pseudoknotted Secondary Structure Prediction Using Relaxed Hierarchical Folding
Alignment of RNAs
CONTRAfold-SE - Learning RNA secondary structure (only) from structure probing data
RNA/DNA/PMO Pseudoknotted Secondary Structure Interaction Prediction Using Relaxed Hierarchical Folding
Tool for analysing BLAST output for ncRNA sequences
MFE method for predicting the psuedoknotted secondary structures of RNA sequences.
Tools For Computational Biology
Julia interface to ViennaRNA for RNA structure prediction and analysis
Python bindings to use the historical GTFold library natively in the RNADB construction script and natively with Python3. See the WIKI pages for documentation and installation notes.
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