Discovering microRNAs from deep sequencing data using miRDeep (Record no. 44252)

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control field 20250625140623.0
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Transcribing agency CICY
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Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-10010
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Title Discovering microRNAs from deep sequencing data using miRDeep
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Volume/sequential designation Nature Biotechnology, 26, p.407-415, 2008
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Summary, etc. The capacity of highly parallel sequencing technologies to detect small RNAs at unprecedented depth suggests their value in systematically identifying microRNAs (miRNAs). However, the identification of miRNAs from the large pool of sequenced transcripts from a single deep sequencing run remains a major challenge. Here, we present an algorithm, miRDeep, which uses a probabilistic model of miRNA biogenesis to score compatibility of the position and frequency of sequenced RNA with the secondary structure of the miRNA precursor. We demonstrate its accuracy and robustness using published Caenorhabditis elegans data and data we generated by deep sequencing human and dog RNAs. miRDeep reports altogether ~230 previously unannotated miRNAs, of which four novel C. elegans miRNAs are validated by northern blot analysis.
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Personal name Friedlander, M.R.
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Personal name Chen, W.
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Personal name Adamidi, C.
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Personal name Maaskola, J.
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Personal name Einspanier, R.
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Personal name Knespel, S.
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Personal name Rajewsky, N.
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Uniform Resource Identifier <a href="https://drive.google.com/file/d/19Z8_TmteHHQlyLDiKKU4b613UjPnnMUc/view?usp=drivesdk">https://drive.google.com/file/d/19Z8_TmteHHQlyLDiKKU4b613UjPnnMUc/view?usp=drivesdk</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-10010 25.06.2025 25.06.2025 Documentos solicitados