Unknown

Dataset Information

ReactIDR: evaluation of the statistical reproducibility of high-throughput structural analyses towards a robust RNA structure prediction.


ABSTRACT:

Background

Recently, next-generation sequencing techniques have been applied for the detection of RNA secondary structures, which is referred to as high-throughput RNA structural (HTS) analyses, and many different protocols have been used to detect comprehensive RNA structures at single-nucleotide resolution. However, the existing computational analyses heavily depend on the experimental methodology to generate data, which results in difficulties associated with statistically sound comparisons or combining the results obtained using different HTS methods.

Results

Here, we introduced a statistical framework, reactIDR, which can be applied to the experimental data obtained using multiple HTS methodologies. Using this approach, nucleotides are classified into three structural c

SUBMITTER: Kawaguchi R 

PROVIDER: S-EPMC6439966 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature