Tambe, Akshay and Doudna, Jennifer and Pachter, Lior (2014) Identifying RNA contacts from SHAPE-MaP by partial correlation analysis. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20170307-101642083
![]() |
PDF
- Submitted Version
See Usage Policy. 356Kb |
Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20170307-101642083
Abstract
In a recent paper Siegfried et al. published a new sequence-based structural RNA assay that utilizes mutational profiling to detect base pairing (MaP). Output from MaP provides information about both pairing (via reactivities) and contact (via correlations). Reactivities can be coupled to partition function folding models for structural inference, while correlations can reveal pairs of sites that may be in structural proximity. The possibility for inference of 3D contacts via MaP suggests a novel approach to structural prediction for RNA analogous to covariance structural prediction for proteins. We explore this approach and show that partial correlation analysis outperforms na\"ive correlation analysis. Our results should be applicable to a wide range of high-throughput sequencing based RNA structural assays that are under development.
Item Type: | Report or Paper (Discussion Paper) | ||||||
---|---|---|---|---|---|---|---|
Related URLs: |
| ||||||
ORCID: |
| ||||||
Record Number: | CaltechAUTHORS:20170307-101642083 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20170307-101642083 | ||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
ID Code: | 74841 | ||||||
Collection: | CaltechAUTHORS | ||||||
Deposited By: | Tony Diaz | ||||||
Deposited On: | 07 Mar 2017 18:33 | ||||||
Last Modified: | 24 Feb 2020 10:30 |
Repository Staff Only: item control page