Inhaltsangabe
RNA-Seq provides an ideal platform to study the complete set of transcripts for a specific developmental stage or physiological condition. It reveals not only expression-level changes, but also structural changes in the coding sequences, including gene rearrangements. In this dissertation, I present my contributions to the development of computational tools for the robust and efficient analysis of RNA-Seq data to support cancer research. To automate the laborious and computationally intensive procedure of RNA-Seq data management, I worked on the development of Hydra, an RNA-Seq pipeline for the parallel processing and quality control of large numbers of samples. I then present QueryFuse, a novel gene-specific fusion-detection algorithm for aligned RNA-Seq data. It is designed to help biologists find and/or computationally validate fusions of interest quickly, and to annotate the detected events with visualization and detailed properties of the supporting reads. Finally, I contributed to the identification of a novel fusion event in lymphoma, with potential therapeutic implications in clinical samples. I validated this fusion in silico and by experimental validation.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Current¿Post-doctoral fellowship, Bio-medical Transnational Research Institute of Jinan University, ChinaPh.D., Bioinformatics, Boston University School of Medicine, Boston,Research interest: Computational applications in cancer research and human microbiome.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suchergebnisse für Computational Approaches for Transcriptome Cancer Analysis...
Foto des Verkäufers
Computational Approaches for Transcriptome Cancer Analysis by RNA-Seq
Verlag:
LAP LAMBERT Academic Publishing Mai 2016, 2016
ISBN 10: 3659870870
ISBN 13: 9783659870873
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -RNA-Seq provides an ideal platform to study the complete set of transcripts for a specific developmental stage or physiological condition. It reveals not only expression-level changes, but also structural changes in the coding sequences, including gene rearrangements. In this dissertation, I present my contributions to the development of computational tools for the robust and efficient analysis of RNA-Seq data to support cancer research. To automate the laborious and computationally intensive procedure of RNA-Seq data management, I worked on the development of Hydra, an RNA-Seq pipeline for the parallel processing and quality control of large numbers of samples. I then present QueryFuse, a novel gene-specific fusion-detection algorithm for aligned RNA-Seq data. It is designed to help biologists find and/or computationally validate fusions of interest quickly, and to annotate the detected events with visualization and detailed properties of the supporting reads. Finally, I contributed to the identification of a novel fusion event in lymphoma, with potential therapeutic implications in clinical samples. I validated this fusion in silico and by experimental validation. 108 pp. Englisch. Bestandsnummer des Verkäufers 9783659870873
Neu kaufen
EUR 54,90
EUR 23,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Computational Approaches for Transcriptome Cancer Analysis by RNA-Seq
Verlag:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659870870
ISBN 13: 9783659870873
Neu
Softcover
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 26404731280
Neu kaufen
EUR 84,53
EUR 3,39 Versand
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Computational Approaches for Transcriptome Cancer Analysis by RNA-Seq
Verlag:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659870870
ISBN 13: 9783659870873
Neu
Softcover
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 409471567
Neu kaufen
EUR 80,73
EUR 7,52 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 4 verfügbar
Foto des Verkäufers
Computational Approaches for Transcriptome Cancer Analysis by RNA-Seq
Verlag:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659870870
ISBN 13: 9783659870873
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tan YuxiangCurrent:Post-doctoral fellowship, Bio-medical Transnational Research Institute of Jinan University, ChinaPh.D., Bioinformatics, Boston University School of Medicine, Boston,Research interest: Computational applications in . Bestandsnummer des Verkäufers 159146715
Neu kaufen
EUR 45,45
EUR 48,99 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Computational Approaches for Transcriptome Cancer Analysis by RNA-Seq
Verlag:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659870870
ISBN 13: 9783659870873
Neu
Softcover
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18404731290
Neu kaufen
EUR 87,21
EUR 9,95 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Computational Approaches for Transcriptome Cancer Analysis by RNA-Seq
Verlag:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659870870
ISBN 13: 9783659870873
Neu
Paperback
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 108 pages. 8.66x5.91x0.25 inches. In Stock. Bestandsnummer des Verkäufers 3659870870
Neu kaufen
EUR 86,17
EUR 11,56 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 1 verfügbar
Foto des Verkäufers
Computational Approaches for Transcriptome Cancer Analysis by RNA-Seq
Verlag:
LAP LAMBERT Academic Publishing Mai 2016, 2016
ISBN 10: 3659870870
ISBN 13: 9783659870873
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -RNA-Seq provides an ideal platform to study the complete set of transcripts for a specific developmental stage or physiological condition. It reveals not only expression-level changes, but also structural changes in the coding sequences, including gene rearrangements. In this dissertation, I present my contributions to the development of computational tools for the robust and efficient analysis of RNA-Seq data to support cancer research. To automate the laborious and computationally intensive procedure of RNA-Seq data management, I worked on the development of Hydra, an RNA-Seq pipeline for the parallel processing and quality control of large numbers of samples. I then present QueryFuse, a novel gene-specific fusion-detection algorithm for aligned RNA-Seq data. It is designed to help biologists find and/or computationally validate fusions of interest quickly, and to annotate the detected events with visualization and detailed properties of the supporting reads. Finally, I contributed to the identification of a novel fusion event in lymphoma, with potential therapeutic implications in clinical samples. I validated this fusion in silico and by experimental validation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Bestandsnummer des Verkäufers 9783659870873
Neu kaufen
EUR 54,90
EUR 60,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar
Foto des Verkäufers
Computational Approaches for Transcriptome Cancer Analysis by RNA-Seq
Verlag:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659870870
ISBN 13: 9783659870873
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - RNA-Seq provides an ideal platform to study the complete set of transcripts for a specific developmental stage or physiological condition. It reveals not only expression-level changes, but also structural changes in the coding sequences, including gene rearrangements. In this dissertation, I present my contributions to the development of computational tools for the robust and efficient analysis of RNA-Seq data to support cancer research. To automate the laborious and computationally intensive procedure of RNA-Seq data management, I worked on the development of Hydra, an RNA-Seq pipeline for the parallel processing and quality control of large numbers of samples. I then present QueryFuse, a novel gene-specific fusion-detection algorithm for aligned RNA-Seq data. It is designed to help biologists find and/or computationally validate fusions of interest quickly, and to annotate the detected events with visualization and detailed properties of the supporting reads. Finally, I contributed to the identification of a novel fusion event in lymphoma, with potential therapeutic implications in clinical samples. I validated this fusion in silico and by experimental validation. Bestandsnummer des Verkäufers 9783659870873
Neu kaufen
EUR 54,90
EUR 60,90 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar
Foto des Verkäufers
Computational Approaches for Transcriptome Cancer Analysis by RNA-Seq
Verlag:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659870870
ISBN 13: 9783659870873
Neu
Taschenbuch
Anbieter: preigu, Osnabrück, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Computational Approaches for Transcriptome Cancer Analysis by RNA-Seq | Yuxiang Tan | Taschenbuch | 108 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659870873 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 103670650
Neu kaufen
EUR 47,85
EUR 70,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 5 verfügbar