Motivation The widely-used high-throughput RNA-sequencing technologies (RNA-seq)
usually produce paired-end reads. We explore if full fragments can be computationally …

Splicing of nuclear introns is catalysed by the spliceosome, one of the most complex
macromolecular machines currently known. Even though the canonical splicing signals that …

Alternative splicing (AS) is a fundamental biological process that diversifies the
transcriptomes and proteomes. Aberrant splicing is the main cause of rare diseases and …

We present a synopsis of publications focused on machine learning (ML) or artificial
intelligence (AI) applications in healthcare for the year 2019. We appreciate the work of …

Long Non-coding RNAs (lncRNAs) play crucial roles in complex pathological and
physiological processes. However, only a few of lncRNAs are well characterized. lncRNA …

The deregulation or disruption of the splicing process has been shown to play a role in the
onset, development, and even response to treatment of some malignancies. Partly due to …

The widely-used high-throughput RNA-sequencing technologies (RNA-seq) usually
produce paired-end reads. We explore if full fragments can be computationally …

The generation of multiple, large scale genomic datasets has become increasingly common
in biological and biomedical research. These datasets can be collected for a common set of …

The relative proportion of RNA isoforms expressed for a given gene has been associated
with disease states in cancer, retinal diseases, and neurological disorders. Examination of …

Phenotyping 2 4 Rare diseases 2 7 Cancers 2 7 Applications of machine learning and deep
learning 2 7 Genomic sequence data processing 2 8 Analysis and interpretation 3 0 …