A robust peak detection method for RNA structure inference by high-throughput contact mapping

Jinkyu Kim, Seunghak Yu, Byonghyo Shim, Hanjoo Kim, Hyeyoung Min, Eui-Young Chung, Rhiju Das, Sungroh Yoon

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Motivation: For high-throughput prediction of the helical arrangements of large RNA molecules, an innovative method termed multiplexed hydroxyl radical (·OH) cleavage analysis (MOHCA) has been proposed. A key step in this promising technique is to detect peaks accurately from noisy radioactivity profiles. Since manual peak finding is laborious and prone to error, an automated peak detection method to improve the accuracy and throughput of MOHCA is required. Existing methods were not applicable to MOHCA due to their high false positive rates. Results: We developed a two-step computational method that can detect peaks from MOHCA profiles in a robust manner. The first step exploits an ensemble of linear and non-linear signal processing techniques to find true peak candidates. In the second step, a binary classifier trained with the characteristics of true and false peaks is used to eliminate false peaks out of the peak candidates. We tested the proposed approach with 2002 MOHCA cleavage profiles and obtained the median recall, precision and F-measure values of 0.917, 0.750 and 0.830, respectively. Compared with the alternatives considered, the proposed method was able to handle false peaks substantially better, thus resulting in 51.0-71.8% higher median values of precision and F-measure.

Original languageEnglish
Pages (from-to)1137-1144
Number of pages8
JournalBioinformatics
Volume25
Issue number9
DOIs
Publication statusPublished - 2009 May 7

Fingerprint

RNA
High Throughput
Throughput
Contact
Radioactivity
Computational methods
Hydroxyl Radical
Signal processing
Classifiers
Two-step Method
Molecules
False Positive
Computational Methods
Signal Processing
Arrangement
Ensemble
Eliminate
Classifier
Binary
Prediction

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Biology
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Computational Mathematics
  • Statistics and Probability

Cite this

Kim, Jinkyu ; Yu, Seunghak ; Shim, Byonghyo ; Kim, Hanjoo ; Min, Hyeyoung ; Chung, Eui-Young ; Das, Rhiju ; Yoon, Sungroh. / A robust peak detection method for RNA structure inference by high-throughput contact mapping. In: Bioinformatics. 2009 ; Vol. 25, No. 9. pp. 1137-1144.
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A robust peak detection method for RNA structure inference by high-throughput contact mapping. / Kim, Jinkyu; Yu, Seunghak; Shim, Byonghyo; Kim, Hanjoo; Min, Hyeyoung; Chung, Eui-Young; Das, Rhiju; Yoon, Sungroh.

In: Bioinformatics, Vol. 25, No. 9, 07.05.2009, p. 1137-1144.

Research output: Contribution to journalArticle

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AU - Kim, Jinkyu

AU - Yu, Seunghak

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AU - Kim, Hanjoo

AU - Min, Hyeyoung

AU - Chung, Eui-Young

AU - Das, Rhiju

AU - Yoon, Sungroh

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