A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
A Review on Recent Computational Methods for Predicting Noncoding RNAs
2017
BioMed Research International
Noncoding RNAs (ncRNAs) play important roles in various cellular activities and diseases. In this paper, we presented a comprehensive review on computational methods for ncRNA prediction, which are generally grouped into four categories: (1) homology-based methods, that is, comparative methods involving evolutionarily conserved RNA sequences and structures, (2) de novo methods using RNA sequence and structure features, (3) transcriptional sequencing and assembling based methods, that is,
doi:10.1155/2017/9139504
pmid:28553651
pmcid:PMC5434267
fatcat:gwcnzcftrfgmpiaeepmqfrbogq