Results 21 to 30 of about 1,187,055 (266)

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

RNA Sequencing Analysis of Salivary Extracellular RNA [PDF]

open access: yes, 2016
Salivary biomarkers for disease detection, diagnostic and prognostic assessments have become increasingly well established in recent years. In this chapter we explain the current leading technology that has been used to characterize salivary non-coding RNAs (ncRNAs) from the extracellular RNA (exRNA) fraction: HiSeq from Illumina® platform for RNA ...
Majem, Blanca   +3 more
openaire   +4 more sources

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.
Katherine Icay   +5 more
openaire   +3 more sources

Development of strategies for SNP detection in RNA-seq data: application to lymphoblastoid cell lines and evaluation using 1000 Genomes data. [PDF]

open access: yesPLoS 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
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

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

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

A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC)

open access: yesIEEE Access, 2021
Small non-coding RNAs (ncRNAs) are attracting increasing attention as they are now considered potentially valuable resources in the development of new drugs intended to cure several human diseases.
Muhammad Nabeel Asim   +5 more
doaj   +1 more source

Noncoding RNA gene detection using comparative sequence analysis

open access: yesBMC Bioinformatics, 2001
Background Noncoding RNA genes produce transcripts that exert their function without ever producing proteins. Noncoding RNA gene sequences do not have strong statistical signals, unlike protein coding genes.
Eddy Sean R, Rivas Elena
doaj   +1 more source

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

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