Noncoding RNA gene detection using comparative sequence analysis
BMC Bioinformatics, 2001 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
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A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC)
IEEE Access, 2021 Small non-coding RNAs (ncRNAs) are attracting increasing attention as they are now considered potentially valuable resources in the development of new drugs intended to cure several human diseases.
Muhammad Nabeel Asim +5 more
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Identification and sequence determination of a novel double-stranded RNA mycovirus from the entopathogenic fungus Beauveria bassina [PDF]
, 2015 The final publication is available at Springer via https://doi.org/10.1007/s00705-014-2332-8.An isolate of the entomopathogenic fungus Beauveria bassiana was found to contain five double-stranded (ds) RNA elements ranging from 1.5 to more than 3 kbp. The
Coutts, Robert H.A. +2 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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Comprehensive sequence-to-function mapping of cofactor-dependent RNA catalysis in the glmS ribozyme. [PDF]
, 2020 Massively parallel, quantitative measurements of biomolecular activity across sequence space can greatly expand our understanding of RNA sequence-function relationships. We report the development of an RNA-array assay to perform such measurements and its
Andreasson, Johan OL +3 more
core
DSAP: deep-sequencing small RNA analysis pipeline [PDF]
Nucleic Acids Research, 2010 DSAP is an automated multiple-task web service designed to provide a total solution to analyzing deep-sequencing small RNA datasets generated by next-generation sequencing technology. DSAP uses a tab-delimited file as an input format, which holds the unique sequence reads (tags) and their corresponding number of copies generated by the Solexa ...
Huang, Po-Jung +6 more
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Quantifying the relationship between sequence and three-dimensional structure conservation in RNA
BMC Bioinformatics, 2010 Background In recent years, the number of available RNA structures has rapidly grown reflecting the increased interest on RNA biology. Similarly to the studies carried out two decades ago for proteins, which gave the fundamental grounds for developing ...
Capriotti Emidio, Marti-Renom Marc A
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Structural Alignment of RNAs Using Profile-csHMMs and Its Application to RNA Homology Search: Overview and New Results [PDF]
, 2008 Systematic research on noncoding RNAs (ncRNAs) has revealed that many ncRNAs are actively involved in various biological networks. Therefore, in order to fully understand the mechanisms of these networks, it is crucial to understand the roles of ncRNAs ...
Vaidyanathan, P. P., Yoon, Byung-Jun
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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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Streamlining Quantitative Analysis of Long RNA Sequencing Reads [PDF]
International Journal of Molecular Sciences, 2020 Transcriptome analyses allow for linking RNA expression profiles to cellular pathways and phenotypes. Despite improvements in sequencing methodology, whole transcriptome analyses are still tedious, especially for methodologies producing long reads. Currently, available data analysis software often lacks cost- and time-efficient workflows.
Sebastian Oeck +3 more
openaire +5 more sources