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Alamancos , Eneritz Agirre , Eduardo Eyras. Alamancos , Eneritz Agirre , Eduardo Eyras. Methods to study splicing from high-throughput RNA sequencing data. Computational Processing of Omics Data: Methods to study splicing from high-throughput RNA sequencing data. Implications for Analysis A. Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing Qun Pan , Ofer Shai , Leo J.

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MuSusan L Ackerman. Figures, Tables, and Topics from this paper. The exon quantification pipeline EQP: Dynamic repertoire of a eukaryotic transcriptome surveyed at single-nucleotide resolution Brian T.

Detection of splice junctions from paired-end RNA-seq data by SpliceMap

Finding differential splice junctions in RNA-Seq data as transcriptional biomarkers for prostate cancer Ahmad Tavakoli. FreyBenjamin J.

Skip to search form Skip to splicfmap content. Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing Qun PanOfer ShaiLeo J.

Figures, Tables, and Topics from this paper. By clicking accept or continuing to use the site, splicema; agree to the terms outlined in our Privacy PolicyTerms of Serviceand Dataset License. Dynamic repertoire of a eukaryotic transcriptome surveyed at single-nucleotide resolution Brian T. AlamancosEneritz AgirreEduardo Eyras.

Detection of splice junctions from paired-end RNA-seq data by SpliceMap.

References Publications referenced by this paper. PruittTatiana TatusovaDonna R. By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy PolicyTerms of Serviceand Dataset License.

LeeBrendan J. References Publications referenced by this paper. PruittTatiana TatusovaDonna R. AlamancosEneritz AgirreEduardo Eyras. Computational Processing of Omics Data: Skip to search form Skip to main content. Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing Qun PanOfer ShaiLeo J. Methods to study splicing from high-throughput RNA sequencing data.

The newly developed second generation sequencing technique provides high-throughput data RNA-seq data to study alternative splicing events in different types of cells. Finding differential splice junctions splicema RNA-Seq data as splidemap biomarkers for prostate cancer Ahmad Tavakoli.

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Citations Publications citing this paper. Workflow of standard SpliceMap and outline of junction search based on half-read mapping: Citations Publications citing this paper.

FreyBenjamin J. Computational Processing of Omics Data: MuSusan L Ackerman.

Methods to study splicing from high-throughput RNA sequencing data. Published in Nucleic acids research LeeBrendan J.

Accurate identification of Adenosine Deamination Gavin W. A global view of gene activity and alternative splicing by deep sequencing of the human transcriptome.