AIMC Topic: Open Reading Frames

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LncRNAnet: long non-coding RNA identification using deep learning.

Bioinformatics (Oxford, England) Nov 15, 2018
MOTIVATION: Long non-coding RNAs (lncRNAs) are important regulatory elements in biological processes. LncRNAs share similar sequence characteristics with messenger RNAs, but they play completely different roles, thus providing novel insights for biol...
Humans Deep Learning Databases, Genetic RNA, Long Noncoding High-Throughput Nucleotide Sequencing Open Reading Frames
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A deep recurrent neural network discovers complex biological rules to decipher RNA protein-coding potential.

Nucleic acids research Sep 19, 2018
The current deluge of newly identified RNA transcripts presents a singular opportunity for improved assessment of coding potential, a cornerstone of genome annotation, and for machine-driven discovery of biological knowledge. While traditional, featu...
Humans Neural Networks, Computer Machine Learning Reproducibility of Results Computational Biology RNA, Messenger Sequence Analysis, RNA RNA, Long Noncoding Base Sequence Protein Biosynthesis Open Reading Frames
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TITER: predicting translation initiation sites by deep learning.

Bioinformatics (Oxford, England) Jul 15, 2017
MOTIVATION: Translation initiation is a key step in the regulation of gene expression. In addition to the annotated translation initiation sites (TISs), the translation process may also start at multiple alternative TISs (including both AUG and non-A...
Humans Neural Networks, Computer Machine Learning Software Animals Mice Computational Biology Models, Genetic Open Reading Frames Peptide Chain Initiation, Translational Codon, Initiator
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