Articles liés à Rna Bioinformatics
Synopsis
1. Advanced Design of Structural RNAs Using RNARedPrint
Yann Ponty, Stefan Hammer, Hua-Ting Yao, and Sebastian Will
2. Modeling and Predicting RNA Three-Dimensional Structures
Vladimir Reinharz, Roman Sarrazin-Gendron, and Jérôme Waldispühl
3. Motif Discovery from CLIP Experiments
Marco Pietrosanto, Gabriele Ausiello, and Manuela Helmer-Citterich
4. Profiling of RNA Structure at Single-Nucleotide Resolution Using nextPARS
Uciel Chorostecki, Jesse R. Willis, Ester Saus, and Toni Gabaldon
5. RNA Framework for Assaying the Structure of RNAs by High-Throughput Sequencing
Tycho Marinus and Danny Incarnato
6. Using RNentropy to Detect Significant Variation in Gene Expression across Multiple RNA-Seq or Single Cell RNA-Seq Samples
Federico Zambelli and Giulio Pavesi
7. Statistical Modeling of High Dimensional Counts
Michael I. Love
8. QuickIsoSeq for Isoform Quantification in Large-Scale RNA Sequencing
Ramya Gamini, Reiko Nakashima, Wen He, Ying Huang, Ying Zhang, and Shanrong Zhao
9. Summarizing RNA-Seq Data or Differentially Expressed Genes Using Gene Set, Network or Pathway Analysis
Enrica Calura and Paolo Martini
10. Computational Analysis of circRNA Expression Data
Giulio Ferrero, Nicola Licheri, Michele De Bortoli, Raffaele A Calogero, Marco Beccuti, and Francesca Cordero
11. Differential Expression Analysis of Long Non-Coding RNAs
Qian Li and Xuefeng Wang
12. Micro-RNA Quantification, Target Gene Identification, and Pathway Analysis
Gabriele Sales and Enrica Calura
13. In Silico Analysis of MicroRNA Sequencing Data
Ernesto Aparicio-Puerta, Bastian Fromm, Michael Hackenberg, and Marc K. Halushka
14. RNA Editing Detection in HPC Infrastructures
Claudio Lo Giudice, Luigi Mansi, Tiziano Flati, Silvia Gioiosa, Giovanni Chillemi, Pietro Libro, Tiziana Castrignanò, Graziano Pesole, and Ernesto Picardi
15. Identification of Genes Post-Transcriptionally Regulated from RNA-Seq: The Case Study of Liver Hepatocellular Carcinoma
Stefano de Pretis, Mattia Furlan, and Mattia Pelizzola
16. Computational Analysis of Single Cell RNA-Seq Data
Luca Alessandrì, Francesca Cordero, Marco Beccuti, Maddalena Arigoni, and Raffaele A. Calogero
17. Normalization of Single-Cell RNA-Seq Data
Davide Risso
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RNA Bioinformatics.
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New York, NY, Humana Press., 2021
ISBN 10 : 1071613065
ISBN 13 : 9781071613061
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Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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2nd Ed. XIV, 581 p. Hardcover. 2nd Ed. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Methods in Molecular Biology 2284. Sprache: Englisch. N° de réf. du vendeur 9139EB
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RNA Bioinformatics (Methods in Molecular Biology, 2284)
Vendeur : Toscana Books, AUSTIN, TX, Etats-Unis
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Hardcover. Etat : new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. N° de réf. du vendeur Scanned1071613065
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RNA Bioinformatics
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes cutting-edge techniquesProvides step-by-step detail essential for reproducible resultsContains key implementation from the expertsIncludes cutting-edge techniquesProvides step-by-ste. N° de réf. du vendeur 416589811
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RNA Bioinformatics (Methods in Molecular Biology, 2284)
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RNA Bioinformatics
Edité par
Springer US Apr 2021, 2021
ISBN 10 : 1071613065
ISBN 13 : 9781071613061
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This detailed book aims to provide an overview of novel bioinformatics resources for exploring diverse aspects of RNA biology. This edition focuses on methods dealing with non-coding RNA (miRNAs, circRNAs or lncRNAs), RNA modifications (m6A or RNA editing), single cell RNA-seq and statistical models to handle count data from RNA-seq experiments. The book also includes chapters based on the classical RNA bioinformatics methods, such as those for deciphering secondary and tertiary RNA structures; however, they are revised to take into account deep sequencing data. Finally, chapters describing methods to analyze RNA sequencing data from emerging third generation sequencing technologies that could provide interesting insights into the transcriptional process and its regulation are also included.Written for the highly successful Methods in Molecular Biology series, chapters include the kind of expert implementation advice that encourages quality results. Comprehensive and up-to-date, RNA Bioinformatics, Second Edition serves as an ideal guide for researchers digging ever-deeper into the depths of the study of RNAs.The chapter 'RNA-Seq Data Analysis in Galaxy' is open access under a CC BY 4.0 license. 600 pp. Englisch. N° de réf. du vendeur 9781071613061
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RNA Bioinformatics (Methods in Molecular Biology, 2284)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9781071613061_new
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RNA Bioinformatics
Edité par
Springer US, Springer US Apr 2021, 2021
ISBN 10 : 1071613065
ISBN 13 : 9781071613061
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. Neuware -This detailed book aims to provide an overview of novel bioinformatics resources for exploring diverse aspects of RNA biology. This edition focuses on methods dealing with non-coding RNA (miRNAs, circRNAs or lncRNAs), RNA modifications (m6A or RNA editing), single cell RNA-seq and statistical models to handle count data from RNA-seq experiments. The book also includes chapters based on the classical RNA bioinformatics methods, such as those for deciphering secondary and tertiary RNA structures; however, they are revised to take into account deep sequencing data. Finally, chapters describing methods to analyze RNA sequencing data from emerging third generation sequencing technologies that could provide interesting insights into the transcriptional process and its regulation are also included.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 600 pp. Englisch. N° de réf. du vendeur 9781071613061
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RNA Bioinformatics
Edité par
Springer US, Springer US, 2021
ISBN 10 : 1071613065
ISBN 13 : 9781071613061
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This detailed book aims to provide an overview of novel bioinformatics resources for exploring diverse aspects of RNA biology. This edition focuses on methods dealing with non-coding RNA (miRNAs, circRNAs or lncRNAs), RNA modifications (m6A or RNA editing), single cell RNA-seq and statistical models to handle count data from RNA-seq experiments. The book also includes chapters based on the classical RNA bioinformatics methods, such as those for deciphering secondary and tertiary RNA structures; however, they are revised to take into account deep sequencing data. Finally, chapters describing methods to analyze RNA sequencing data from emerging third generation sequencing technologies that could provide interesting insights into the transcriptional process and its regulation are also included.Written for the highly successful Methods in Molecular Biology series, chapters include the kind of expert implementation advice that encourages quality results. Comprehensive and up-to-date, RNA Bioinformatics, Second Edition serves as an ideal guide for researchers digging ever-deeper into the depths of the study of RNAs.The chapter 'RNA-Seq Data Analysis in Galaxy' is open access under a CC BY 4.0 license. N° de réf. du vendeur 9781071613061
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RNA Bioinformatics (Methods in Molecular Biology, 2284)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Mar2317530223610
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Rna Bioinformatics
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 2nd edition. 595 pages. 10.00x7.01x1.54 inches. In Stock. N° de réf. du vendeur x-1071613065
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