Results 21 to 30 of about 1,743,892 (345)

Deciphering the RRM-RNA recognition code: A computational analysis.

open access: yesPLoS Computational Biology, 2023
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

The evolutionary relationship of S15/NS1RNA binding domains with a similar protein domain pattern - A computational approach

open access: yesInformatics in Medicine Unlocked, 2021
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]

open access: yesBioData Mining, 2016
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

open access: yesFrontiers in Oncology, 2020
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]

open access: yes, 2010
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

open access: yesKorean Journal of Clinical Laboratory Science, 2023
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

open access: yesNature Communications, 2023
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

open access: yesNucleic Acids Research, 1994
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
openaire   +3 more sources

Recent advances in RNA sequence analysis [PDF]

open access: yesF1000 Biology Reports, 2010
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]

open access: yesNucleic Acids Research, 2008
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

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