Deciphering the RRM-RNA recognition code: A computational analysis.
PLoS 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
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SePIA: RNA and small RNA sequence processing, integration, and analysis [PDF]
BioData 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.
Katherine Icay +5 more
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Development of strategies for SNP detection in RNA-seq data: application to lymphoblastoid cell lines and evaluation using 1000 Genomes data. [PDF]
PLoS ONE, 2013 Next-generation RNA sequencing (RNA-seq) maps and analyzes transcriptomes and generates data on sequence variation in expressed genes. There are few reported studies on analysis strategies to maximize the yield of quality RNA-seq SNP data.
Emma M Quinn +7 more
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Informatics 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
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Circular RNA Expression Profiles in Nasopharyngeal Carcinoma by Sequence Analysis
Frontiers 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
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Big Data Analytics in RNA-sequencing
Korean 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
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A hepatitis C virus cis-acting replication element forms a long-range RNA-RNA interaction with upstream RNA sequences in NS5B [PDF]
, 2008 The genome of hepatitis C virus (HCV) contains cis-acting replication elements (CREs) comprised of RNA stem-loop structures located in both the 5' and 3' non-coding regions (NCR), and in the NS5B coding sequence.
Diviney, Sinéad +22 more
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Novel endoribonucleases as central players in various pathways of eukaryotic RNA metabolism [PDF]
, 2010 For a long time it has been assumed that the decay of RNA in eukaryotes is mainly carried out by exoribonucleases, which is in contrast to bacteria, where endoribonucleases are well documented to initiate RNA degradation.
Andrzej Dziembowski +3 more
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Structural Alignment and Covariation Analysis of RNA Sequences [PDF]
BIO-PROTOCOL, 2020 RNA molecules adopt defined structural conformations that are essential to exert their function. During the course of evolution, the structure of a given RNA can be maintained via compensatory base-pair changes that occur among covarying nucleotides in paired regions.
Nicolas Tourasse, Fabien Darfeuille
openaire +3 more sources
Signal Processing Methods for Genomic Sequence Analysis [PDF]
, 2007 Signal processing is the art of representing, transforming, analyzing, and manipulating signals. It deals with a wide range of signals, from speech and audio signals to images and video signals, and many others.
Yoon, Byung-Jun
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