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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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HeliyonDeciphering information of RNA sequences reveals their diverse roles in living organisms, including gene regulation and protein synthesis. Aberrations in RNA sequence such as dysregulation and mutations can drive a diverse spectrum of diseases including ...
Muhammad Nabeel Asim +3 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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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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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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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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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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ANALYSIS OF LARGE-SCALE SEQUENCING OF SMALL RNAS [PDF]
Biocomputing 2008, 2007 The advent of large-scale sequencing has opened up new areas of research, such as the study of Piwi-interacting small RNAs (piRNAs). piRNAs are longer than miRNAs, close to 30 nucleotides in length, involved in various functions, such as the suppression of transposons in germline. Since a large number of them (many tens of thousands) are generated from
Olson, A. J. +4 more
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