Functional Analysis of Long Non-Coding RNAs Methods and Protocols /
This detailed volume presents a comprehensive bioinformatic and experimental toolbox for prioritizing, annotating, and functionally analyzing long non-coding RNAs (lncRNAs). Playing a vital role in diverse biological progresses and human disease, lncRNAs have proven to be a challenging subject of st...
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- 1. Verfasser:
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- Format:
- Elektronisch E-Book
- Sprache:
- Englisch
- Veröffentlicht:
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New York, NY :
Springer US : Imprint: Humana,
2021.
- Ausgabe:
- 1st ed. 2021.
- Zusammenfassung:
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This detailed volume presents a comprehensive bioinformatic and experimental toolbox for prioritizing, annotating, and functionally analyzing long non-coding RNAs (lncRNAs). Playing a vital role in diverse biological progresses and human disease, lncRNAs have proven to be a challenging subject of study due to our limited understanding of their sequence-function relationships, lack of complete genetic annotation, and the unavailability of systems required to define their functional importance and molecular mechanisms, all of which this book seeks to address. Written for the highly successful Methods in Molecular Biology series, 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 practical, Functional Analysis of Long Non-Coding RNAs: Methods and Protocols provides atimely and convenient resource to facilitate the identification and characterization of disease-associated human lncRNAs, which aims to shed light on their role in biology and pathophysiology and ultimately lead toward novel therapeutic approaches targeting lncRNAs for the amelioration of human diseases.
- Umfang:
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1 Online-Ressource (XIII, 351 Seiten) 64 Illustrationen, 54 Illustrationen in Farbe
text file PDF - ISBN:
- 9781071611586
- ISSN:
- 1940-6029 ;
- DOI:
- 10.1007/978-1-0716-1158-6
- Schlagworte:
- Bezugswerke:
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Enthalten in: Springer Nature eBookErscheint auch als: Druckausgabe: 9781071611579Erscheint auch als: Druckausgabe: 9781071611593Erscheint auch als: Druckausgabe: 9781071611609
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