Results 11 to 20 of about 1,743,892 (345)
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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Introductory Editorial: Current Developments in RNA Sequence Analysis
Bioinformatics and Biology Insights, 2016 Jianping Zhang +4 more
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TRANSCRIPTOMIC DIFFERENCES IN MONOZYGOTIC TWINS WITH OVARIAN CANCER
Sabiad, 2022 Objectives: The most significant barrier to treating epithelial ovarian cancer(EOC), is the late diagnosis and the emergence of chemotherapy resistance in the early stages.The ineffectiveness of standard treatment protocols in advanced-stage cases ...
Gözde Kuru Türkcan +6 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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RNA Sequencing Analysis of Salivary Extracellular RNA [PDF]
, 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
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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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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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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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