Multiple ncRNA alignment has important applications in homologous ncRNA consensus structure derivation, novel ncRNA identification, and known ncRNA classification. As many ncRNAs’ functions are determined by both their sequences and secondary structures, accurate ncRNA alignment algorithms must maximize both sequence and structural similarity simultaneously, incurring high computational cost. F...

Non-coding RNA (ncRNA) play an important and varied role in cellular function. A significant amount of research has been devoted to computational prediction of these genes from genomic sequence, but the ability to do so has remained elusive due to a lack of apparent genomic features. In this work, thermodynamic stability of ncRNA structural elements, as summarized in a Z-score, is used to predi...

Noncoding RNAs (ncRNAs) are emerging as key regulators of cellular function. We have exploited the recently developed barcoded ncRNA gene deletion strain collections in the yeast Saccharomyces cerevisiae to investigate the numerous ncRNAs in yeast with no known function. The ncRNA deletion collection contains deletions of tRNAs, snoRNAs, snRNAs, stable unannotated transcripts (SUTs), cryptic un...

Non-protein-coding RNA (ncRNA) genes are known to play significant roles. Along with transfer RNAs, ribosomal RNAs and mRNAs, ncRNAs contribute to gene splicing, nucleotide modification, protein transport and regulation of gene expression. Several methods exist for predicting ncRNA genes in Escherichia coli (E.coli). In this paper, we describe a very general, highthroughput method for predictin...

A renewed interest in non-coding RNA (ncRNA) has led to the discovery of novel RNA species and post-transcriptional ribonucleoside modifications, and an emerging appreciation for the role of ncRNA in RNA epigenetics. Although much can be learned by amplification-based analysis of ncRNA sequence and quantity, there is a significant need for direct analysis of RNA, which has led to numerous metho...

The secondary structure of an ncRNA molecule is known to play an important role in its biological functions. Aligning a known ncRNA to a target candidate to determine the sequence and structural similarity helps in identifying de novo ncRNA molecules that are in the same family of the known ncRNA. However, existing algorithms cannot handle complex pseudoknot structures which are found in nature...

Several methods exist for predicting non-coding RNA (ncRNA) genes in Escherichia coli (E.coli). In addition to about sixty known ncRNA genes excluding tRNAs and rRNAs, various methods have predicted more than thousand ncRNA genes, but only 95 of these candidates were confirmed by more than one study. Here, we introduce a new method that uses automatic discovery of sequence patterns to predict n...

Genomic studies have become noncoding RNA (ncRNA) centric after the study of different genomes provided enormous information on ncRNA over the past decades. The function of ncRNA is decided by its secondary structure, and across organisms, the secondary structure is more conserved than the sequence itself. In this study, the optimal secondary structure or the minimum free energy (MFE) structure...

The protozoan parasite Toxoplasma gondii is an important human and veterinary pathogen. Asexual replication of T. gondii in humans and intermediate hosts is characterized by two forms: rapidly growing "tachyzoites" and latent "bradyzoite" tissue cysts. Tachyzoites are responsible for acute illness and congenital neurological birth defects, while the more slowly dividing bradyzoite form can rema...

Abstract Background Non-coding RNA (ncRNA) and protein interactions play essential roles in various physiological pathological processes. The experimental methods used for predicting ncRNA–protein are time-consuming labor-intensive. Therefore, there is an increasing demand computational to accurately efficiently predict interactions. Results In this work, we presented ensemble deep learning-bas...