Yasubumi Sakakibara

Latest

• Direct inference of base-pairing probabilities with neural networks improves prediction of RNA secondary structures with pseudoknots
• A max-margin model for predicting residue-base contacts in protein-RNA interactions
• RNA secondary structure prediction using deep learning with thermodynamic integration
• An improved de novo genome assembly of the common marmoset genome yields improved contiguity and increased mapping rates of sequence data
• Efficient generation of Knock-in/Knock-out marmoset embryo via CRISPR/Cas9 gene editing
• A max-margin training of RNA secondary structure prediction integrated with the thermodynamic model
• Convolutional neural network based on SMILES representation of compounds for detecting chemical motif
• DEclust: A statistical approach for obtaining differential expression profiles of multiple conditions
• Generation of a Nonhuman Primate Model of Severe Combined Immunodeficiency Using Highly Efficient Genome Editing
• SHARAKU: an algorithm for aligning and clustering read mapping profiles of deep sequencing in non-coding RNA processing