Sequence variant analysis of RNA sequences in severe equine asthma [PDF]
Background Severe equine asthma is a chronic inflammatory disease of the lung in horses similar to low-Th2 late-onset asthma in humans. This study aimed to determine the utility of RNA-Seq to call gene sequence variants, and to identify sequence variants
Laurence Tessier+2 more
doaj +4 more sources
Noncoding RNA gene detection using comparative sequence analysis
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 +2 more sources
A complex adaptive systems approach to the kinetic folding of RNA [PDF]
The kinetic folding of RNA sequences into secondary structures is modeled as a complex adaptive system, the components of which are possible RNA structural rearrangements (SRs) and their associated bases and base pairs. RNA bases and base pairs engage in local stacking interactions that determine the probabilities (or fitnesses) of possible SRs ...
Abrahams+41 more
arxiv +5 more sources
Tracking Cryptosporidium parvum by Sequence Analysis of Small Double-Stranded RNA
We sequenced a 173-nucleotide fragment of the small double-stranded viruslike RNA of Cryptosporidium parvum isolates from 23 calves and 38 humans. Sequence diversity was detected at 17 sites.
Lihua Xiao+3 more
doaj +2 more sources
PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets [PDF]
Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs which play a significant role in several biological processes. RNA-seq based transcriptome sequencing has been extensively used for identification of lncRNAs. However, accurate identification of lncRNAs in RNA-seq datasets is crucial for exploring their characteristic functions in the genome
Deshpande, Sumukh+4 more
arxiv +7 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'.
S. Eddy, R. Durbin
semanticscholar +4 more sources
RNA-sequence analysis of human B-cells. [PDF]
RNA-sequencing (RNA-seq) allows quantitative measurement of expression levels of genes and their transcripts. In this study, we sequenced complementary DNA fragments of cultured human B-cells and obtained 879 million 50-bp reads comprising 44 Gb of ...
J. Toung+3 more
semanticscholar +4 more sources
Current Developments in RNA Sequence Analysis
field with online, open access to highly relevant scholarly articles by leading international researchers. In a field where the literature is ever-expanding, researchers increasingly need access to up-to-date, high quality scholarly articles on areas of specific contemporary interest.
Jianping Zhang+4 more
doaj +4 more sources
ScanFold 2.0: a rapid approach for identifying potential structured RNA targets in genomes and transcriptomes [PDF]
A major limiting factor in target discovery for both basic research and therapeutic intervention is the identification of structural and/or functional RNA elements in genomes and transcriptomes.
Ryan J. Andrews+4 more
doaj +2 more sources
Small RNA sequencing profiles of mir-181 and mir-221, the most relevant microRNAs in acute myeloid leukemia [PDF]
Background/Aims To evaluate and select microRNAs relevant to acute myeloid leukemia (AML) pathogenesis, we analyzed differential microRNA expression by quantitative small RNA next-generation sequencing using duplicate marrow samples from individual AML ...
Yun-Gyoo Lee+5 more
doaj +1 more source