Results 21 to 30 of about 1,743,892 (345)
Deciphering the RRM-RNA recognition code: A computational analysis.
RNA recognition motifs (RRM) are the most prevalent class of RNA binding domains in eucaryotes. Their RNA binding preferences have been investigated for almost two decades, and even though some RRM domains are now very well described, their RNA ...
Joel Roca-Martínez +3 more
doaj +1 more source
RNA binding proteins are involved in many functions, though the majority of them are composed into small RNA binding domains. The S15/NS1 RNA binding domain is a ribosomal S15 and the non-structural NS1 protein. In this study, an attempt was made to find
S. Muthu Krishnan
doaj +1 more source
SePIA: RNA and small RNA sequence processing, integration, and analysis [PDF]
Large-scale sequencing experiments are complex and require a wide spectrum of computational tools to extract and interpret relevant biological information. This is especially true in projects where individual processing and integrated analysis of both small RNA and complementary RNA data is needed.
Icay, Katherine +5 more
openaire +3 more sources
Circular RNA Expression Profiles in Nasopharyngeal Carcinoma by Sequence Analysis
Circular RNAs (circRNAs), as a burgeoning sort of non-coding RNAs (ncRNAs), can regulate the expression of parental genes as miRNA sponges. This study was designed to explore the circRNA expression profile of nasopharyngeal carcinoma (NPC).
Jing Yang +7 more
doaj +1 more source
TT2NE: A novel algorithm to predict RNA secondary structures with pseudoknots [PDF]
We present TT2NE, a new algorithm to predict RNA secondary structures with pseudoknots. The method is based on a classification of RNA structures according to their topological genus.
Bailor +29 more
core +5 more sources
Big Data Analytics in RNA-sequencing
As next-generation sequencing has been developed and used widely, RNA-sequencing (RNA-seq) has rapidly emerged as the first choice of tools to validate global transcriptome profiling.
Sung-Hun WOO, Byung Chul JUNG
doaj +1 more source
mRNA vaccine quality analysis using RNA sequencing
Abstract The success of mRNA vaccines has been realised, in part, by advances in manufacturing that enabled billions of doses to be produced at sufficient quality and safety. However, mRNA vaccines must be rigorously analysed to measure their integrity and detect contaminants that reduce their effectiveness and induce side-effects. Currently,
Helen M. Gunter +15 more
openaire +3 more sources
RNA sequence analysis using covariance models
We describe a general approach to several RNA sequence analysis problems using probabilistic models that flexibly describe the secondary structure and primary sequence consensus of an RNA sequence family. We call these models 'covariance models'. A covariance model of tRNA sequences is an extremely sensitive and discriminative tool for searching for ...
S R, Eddy, R, Durbin
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Recent advances in RNA sequence analysis [PDF]
The latest high-throughput DNA sequencing technology can now be applied on a large scale to capture the complete set of mRNA transcripts in a cell, using a technique called RNA-seq. Although RNA-seq is only 2 years old, it has rapidly swept through the field of genomics, and it is now being used to analyze the transcriptomes of organisms ranging from ...
openaire +2 more sources
RNA cytosine methylation analysis by bisulfite sequencing [PDF]
Covalent modifications of nucleic acids play an important role in regulating their functions. Among these modifications, (cytosine-5) DNA methylation is best known for its role in the epigenetic regulation of gene expression. Post-transcriptional RNA modification is a characteristic feature of noncoding RNAs, and has been described for rRNAs, tRNAs and
Schaefer, Matthias +3 more
openaire +2 more sources

