Current Developments in RNA Sequence Analysis [PDF]
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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RNA sequence analysis landscape: A comprehensive review of task types, databases, datasets, word embedding methods, and language models [PDF]
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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RNA sequence analysis reveals macroscopic somatic clonal expansion across normal tissues. [PDF]
Science, 2019 Somatic mosaicism in normal tissues Somatic cells can accumulate mutations over the course of an individual's lifetime. This generates cells that differ genetically at specific loci within the genome.
Yizhak K +19 more
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Small RNA-sequence analysis of plasma-derived extracellular vesicle miRNAs in smokers and patients with chronic obstructive pulmonary disease as circulating biomarkers. [PDF]
J Extracell Vesicles, 2019 Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in the airways via intercellular communication. EVs include exosomes and microvesicles, and are characterized by their phospholipid bilayers.
Sundar IK, Li D, Rahman I.
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Recent advances in RNA sequence analysis [PDF]
F1000 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 ...
S. Salzberg
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Ribovore: ribosomal RNA sequence analysis for GenBank submissions and database curation [PDF]
BMC Bioinformatics, 2021 Background The DNA sequences encoding ribosomal RNA genes (rRNAs) are commonly used as markers to identify species, including in metagenomics samples that may combine many organismal communities.
Alejandro A. Schäffer +7 more
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RNA sequence analysis using covariance models
Nucleic Acids Research, 1994 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'. A covariance model of tRNA sequences is an extremely sensitive and discriminative tool for searching for ...
S R, Eddy, R, Durbin
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RNA sequence analysis data of Peronospora destructor maintained on onions [PDF]
Data in Brief, 2019 Peronospora destructor (Berk.) is an important biotrophic oomycete that causes downy mildew on onion (Allium Cepa L.) worldwide, especially in humid and temperate regions.
Kazuki Fujiwara +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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RNA-sequence analysis of human B-cells [PDF]
Genome Research, 2011 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 sequence.
Jonathan M, Toung +3 more
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