Title
Using structural and evolutionary information to detect and correct pyrosequencing errors in noncoding RNAs.
Abstract
The analysis of the sequence-structure relationship in RNA molecules is not only essential for evolutionary studies but also for concrete applications such as error-correction in next generation sequencing (NGS) technologies. The prohibitive sizes of the mutational and conformational landscapes, combined with the volume of data to process, require efficient algorithms to compute sequence-structure properties. In this article, we address the correction of NGS errors by calculating which mutations most increase the likelihood of a sequence to a given structure and RNA family. We introduce RNApyro, an efficient, linear time and space inside-outside algorithm that computes exact mutational probabilities under secondary structure and evolutionary constraints given as a multiple sequence alignment with a consensus structure. We develop a scoring scheme combining classical stacking base-pair energies to novel isostericity scores and apply our techniques to correct pointwise errors in 5s and 16s rRNA sequences. Our results suggest that RNApyro is a promising algorithm to complement existing tools in the NGS error-correction pipeline.
Year
DOI
Venue
2013
10.1089/cmb.2013.0085
JOURNAL OF COMPUTATIONAL BIOLOGY
Keywords
Field
DocType
mutations,RNA,secondary structure
RNA,DNA sequencing,Pyrosequencing,Bioinformatics,Time complexity,Multiple sequence alignment,Protein secondary structure,Mathematics,Evolutionary information,Pointwise
Journal
Volume
Issue
ISSN
20.0
11
1066-5277
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
Vladimir Reinharz1223.39
Yann Ponty224925.67
Jérôme Waldispühl311116.24