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Current Developments in RNA Sequence Analysis
Bioinformatics and Biology Insights, 2015 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
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Sequence variant analysis of RNA sequences in severe equine asthma [PDF]
PeerJ, 2018 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
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ScanFold 2.0: a rapid approach for identifying potential structured RNA targets in genomes and transcriptomes [PDF]
PeerJ, 2022 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
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Small RNA sequencing profiles of mir-181 and mir-221, the most relevant microRNAs in acute myeloid leukemia [PDF]
The Korean Journal of Internal Medicine, 2019 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
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Spatial transcriptomics of the nematode Caenorhabditis elegans using RNA tomography
STAR Protocols, 2021 Summary: RNA tomography or tomo-seq combines mRNA sequencing and cryo-sectioning to spatially resolve gene expression. We have adapted this method for the nematode Caenorhabditis elegans to generate anteroposterior gene expression maps at near-cellular ...
Erik S. Schild +5 more
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RNA Sequencing and Analysis [PDF]
Cold Spring Harbor Protocols, 2015 RNA sequencing (RNA-Seq) uses the capabilities of high-throughput sequencing methods to provide insight into the transcriptome of a cell. Compared to previous Sanger sequencing- and microarray-based methods, RNA-Seq provides far higher coverage and greater resolution of the dynamic nature of the transcriptome.
Kimberly R, Kukurba +1 more
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MethodsX, 2023 Major advances in RNA secondary structural motif prediction have been achieved in the last few years; however, few methods harness the predictive power of multiple approaches to deliver in-depth characterizations of local RNA motifs and their potential ...
Jake M. Peterson +4 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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iPseU-TWSVM: Identification of RNA pseudouridine sites based on TWSVM
Mathematical Biosciences and Engineering, 2022 Biological sequence analysis is an important basic research work in the field of bioinformatics. With the explosive growth of data, machine learning methods play an increasingly important role in biological sequence analysis. By constructing a classifier
Mingshuai Chen +4 more
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Fast Processing RNA-Seq on Multicore Processor
مجلة بغداد للعلوم, 2021 RNA Sequencing (RNA-Seq) is the sequencing and analysis of transcriptomes. The main purpose of RNA-Seq analysis is to find out the presence and quantity of RNA in an experimental sample under a specific condition.
Lee Jia Bin +3 more
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