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        <identifier>oai:drops-oai.dagstuhl.de:2687</identifier>
        <datestamp>2024-03-06T11:09:19Z</datestamp>
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          <dc:title>Estimation of alternative splicing isoform frequencies from RNA-Seq data</dc:title>
          <dc:creator>Nicolae, Marius</dc:creator>
          <dc:creator>Mangul, Serghei</dc:creator>
          <dc:creator>Mandoiu, Ion</dc:creator>
          <dc:creator>Zelikovsky, Alex</dc:creator>
          <dc:subject>RNA-Seq</dc:subject>
          <dc:subject>alternative splicing isoforms</dc:subject>
          <dc:subject>expectation maximization</dc:subject>
          <dc:description>We present a novel expectation-maximization algorithm for inference of alternative splicing isoform frequencies from high-throughput transcriptome sequencing (RNA-Seq) data. Our algorithm exploits largely ignored disambiguation information provided by the distribution of insert sizes generated during sequencing library preparation, and takes advantage of base quality scores, strand and read pairing information if available. Empirical experiments on synthetic datasets show that the algorithm significantly outperforms existing methods of isoform and gene expression level estimation from RNA-Seq data.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Marius Nicolae and Serghei Mangul and Ion Mandoiu and Alex Zelikovsky</dc:contributor>
          <dc:date>2010</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 10231, Structure Discovery in Biology: Motifs, Networks &amp; Phylogenies (2010)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/DagSemProc.10231.5</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-26876</dc:identifier>
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          <dc:language>eng</dc:language>
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