Overview

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 Methods in Molecular Biology series format, the chapters include brief introductions to the material, lists of necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and a Notes section which highlights tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, RNA-RNA and RNA-DNA Interactions provides knowledge and tools necessary for researchers to explore the fascinating study of RNA-RNA and RNA-DNA interactions.

Full Product Details

Author:   Michiaki Hamada ,  Tsukasa Fukunaga ,  Chao Zeng
Publisher:   Springer-Verlag New York Inc.
Imprint:   Humana
Volume:   2949
ISBN:  

9781071646694

ISBN 10:   1071646699
Pages:   254
Publication Date:   02 November 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

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.

Reviews

Author Information

Tab Content 6

Author Website:  

Countries Available

All regions