Application of dual tree complex wavelet transform in tandem mass spectrometry
Murugesan, Selvaraaju, Tay, David B.H., Cooke, Ira, and Faou, Pierre (2015) Application of dual tree complex wavelet transform in tandem mass spectrometry. Computers in Biology and Medicine, 63. pp. 36-41.
PDF (Published Version)
- Published Version
Restricted to Repository staff only |
Abstract
Mass Spectrometry (MS) is a widely used technique in molecular biology for high throughput identification and sequencing of peptides (and proteins). Tandem mass spectrometry (MS/MS) is a specialised mass spectrometry technique whereby the sequence of peptides can be determined. Preprocessing of the MS/MS data is indispensable before performing any statistical analysis on the data. In this work, preprocessing of MS/MS data is proposed based on the Dual Tree Complex Wavelet Transform (DTCWT) using almost symmetric Hilbert pair of wavelets. After the preprocessing step, the identification of peptides is done using the database search approach. The performance of the proposed preprocessing technique is evaluated by comparing its performance against Discrete Wavelet Transform (DWT) and Stationary Wavelet Transform (SWT). The preprocessing performed using DTCWT identified more peptides compared to DWT and SWT.
Item ID: | 43792 |
---|---|
Item Type: | Article (Research - C1) |
ISSN: | 1879-4285 |
Keywords: | tandem mass spectrometry, proteomic data processingd, dual tree complex wavelet transform, signal denoising, peptides detection |
Date Deposited: | 27 Apr 2016 04:03 |
FoR Codes: | 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090609 Signal Processing @ 50% 06 BIOLOGICAL SCIENCES > 0601 Biochemistry and Cell Biology > 060102 Bioinformatics @ 50% |
SEO Codes: | 97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100% |
Downloads: |
Total: 6 |
More Statistics |