44 citations · 110 across the 12 of their papers we have counts for
4 papers · 1 filter
TargetNet: Functional microRNA Target Prediction with Deep Neural Networks
Seonwoo Min, Byunghan Lee, Sungroh Yoon
Motivation: MicroRNAs (miRNAs) play pivotal roles in gene expression regulation by binding to target sites of messenger RNAs (mRNAs). While identifying functional targets of miRNAs…
NASCUP: Nucleic Acid Sequence Classification by Universal Probability
Sunyoung Kwon, Gyuwan Kim, Byunghan Lee +3
Motivated by the need for fast and accurate classification of unlabeled nucleotide sequences on a large scale, we developed NASCUP, a new classification method that captures statis…
DUDE-Seq: Fast, Flexible, and Robust Denoising for Targeted Amplicon Sequencing
Byunghan Lee, Taesup Moon, Sungroh Yoon +1
We consider the correction of errors from nucleotide sequences produced by next-generation targeted amplicon sequencing. The next-generation sequencing (NGS) platforms can provide…
Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond
Sungmin Lee, Hyeyoung Min, Sungroh Yoon
A wide variety of large-scale data has been produced in bioinformatics. In response, the need for efficient handling of biomedical big data has been partly met by parallel computin…