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Published by New York, Humana Press., 2019
ISBN 10: 1493988077 ISBN 13: 9781493988075
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XII, 298 p. Hardcover. 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. 1870. Sprache: Englisch.
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Published by Springer-Verlag New York Inc., New York, NY, 2024
ISBN 10: 1071629646 ISBN 13: 9781071629642
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Paperback. Condition: new. Paperback. This volume details state-of-the-art computational methods designed to manage, analyze, and generally leverage epigenomic and epitranscriptomic data. Chapters guide readers through fine-mapping and quantification of modifications, visual analytics, imputation methods, supervised analysis, and integrative approaches for single-cell data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Computational Epigenomics and Epitranscriptomics aims to provide an overview of epiomic protocols, making it easier for researchers to extract impactful biological insight from their data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Springer-Verlag New York Inc., 2024
ISBN 10: 1071629646 ISBN 13: 9781071629642
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Published by Humana Press Inc., Totowa, NJ, 2018
ISBN 10: 1493988077 ISBN 13: 9781493988075
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First Edition
Hardcover. Condition: new. Hardcover. This volume provides readers with the latest technologies to study changes in the epitranscriptome. The protocols described in this book explore both targeted and unbiased high-throughput analysis associated with post-transcriptional RNA modification. The chapters in this book also cover specific topics such as transcriptome-wide detection of 5-methylcytosine; HAMR; iRNA-2OM; genome-wide annotation of circRNAs; immune-northern blotting; and detection and quantification of pseudouridine in RNA. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Authoritative and comprehensive, Epitranscriptomics: Methods and Protocols is an important resource for both expert and novice scientists who are interested in learning more aboutthis field. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Taschenbuch. Condition: Neu. Computational Epigenomics and Epitranscriptomics | Pedro H. Oliveira | Taschenbuch | xi | Englisch | 2024 | Humana | EAN 9781071629642 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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ISBN 10: 1071629646 ISBN 13: 9781071629642
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume details state-of-the-art computational methods designed to manage, analyze, and generally leverage epigenomic and epitranscriptomic data. Chapters guide readers through fine-mapping and quantification of modifications, visual analytics, imputation methods, supervised analysis, and integrative approaches for single-cell data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge and thorough, Computational Epigenomics and Epitranscriptomics aims to provide an overview of epiomic protocols, making it easier for researchers to extract impactful biological insight from their data.
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ISBN 10: 1071629646 ISBN 13: 9781071629642
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Paperback. Condition: new. Paperback. This volume details state-of-the-art computational methods designed to manage, analyze, and generally leverage epigenomic and epitranscriptomic data. Chapters guide readers through fine-mapping and quantification of modifications, visual analytics, imputation methods, supervised analysis, and integrative approaches for single-cell data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Computational Epigenomics and Epitranscriptomics aims to provide an overview of epiomic protocols, making it easier for researchers to extract impactful biological insight from their data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume provides readers with the latest technologies to study changes in the epitranscriptome. The protocols described in this book explore both targeted and unbiased high-throughput analysis associated with post-transcriptional RNA modification. The chapters in this book also cover specific topics such as transcriptome-wide detection of 5-methylcytosine; HAMR; iRNA-2OM; genome-wide annotation of circRNAs; immune-northern blotting; and detection and quantification of pseudouridine in RNA. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Authoritative and comprehensive, Epitranscriptomics: Methods and Protocols is an important resource for both expert and novice scientists who are interested in learning more aboutthis field.
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