- Neu
Hamada / Fukunaga / Zeng RNA-RNA and RNA-DNA Interactions
Erscheinungsjahr 2025
ISBN: 978-1-0716-4670-0
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 254 Seiten
Reihe: Methods in Molecular Biology
ISBN: 978-1-0716-4670-0
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
This comprehensive book covers RNA-RNA and RNA-DNA interactions from experimental techniques to information technology. Chapter detail experimental approaches to study RNA-RNA and RNA-DNA Interactions and computational approaches to STUDY RNA-RNA and RNA-DNA Interactions. Written in the highly successful series format, the chapters include brief introductions tothe material, lists of necessary materials and reagents, step-by-step, readilyreproducible laboratory protocols, and a Notes section which highlightstips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, provides knowledge and tools necessary for researchers to explore the fascinating study of RNA-RNA and RNA-DNA interactions.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Protein-centric mapping of RNA-DNA interactions with RedChIP.- Mapping of RBP-mediated RNA-RNA interactome with RIC-seq.- Integrated analysis of crosslink-ligation data for the detection of RNA 2D/3D structures and interactions in vivo.- ChRD-PET: A method for mapping RNA-DNA interactions.- ADAR1 RNA editing enzyme regulates telomeric R-loop formation.- Tethered function assay for analyzing PIWI-piRNA-mediated co-transcriptional silencing.- LncRNA:DNA binding prediction using LongTarget and its revised version.- Prediction of RNA joint secondary structures based on integer programming.- Thorough RNA interactome data analysis based on Direct Duplex Detection data.- HybridMPI/OpenMP implementation of RIblast for transcriptome-scale lncRNA–RNA interaction prediction.- Target RNA recognition of microRNA-mediated RNA silencing.- Unveiling functional long-range RNA structures via RIC-seq analysis.- In silico design of interacting RNA sequences using the MODENA web server.- Machine learning approaches for predicting RNA-RNA/DNA interactions.- Identification and sequence characterization of semi-extractable RNAs.
