NDLI: Wavelet Analysis in Current Cancer Genome Research: A Survey

Content Provider	ACM Digital Library
Author	Iyengar, S. S. Soliman, Ahmed T. Meng, Tao Yang, Yimin Chen, Shu-Ching Yordy, John Iyengar, Puneeth Shyu, Mei-Ling
Abstract	With the rapid development of next generation sequencing technology, the amount of biological sequence data of the cancer genome increases exponentially, which calls for efficient and effective algorithms that may identify patterns hidden underneath the raw data that may distinguish cancer Achilles' heels. From a signal processing point of view, biological units of information, including DNA and protein sequences, have been viewed as one-dimensional signals. Therefore, researchers have been applying signal processing techniques to mine the potentially significant patterns within these sequences. More specifically, in recent years, wavelet transforms have become an important mathematical analysis tool, with a wide and ever increasing range of applications. The versatility of wavelet analytic techniques has forged new interdisciplinary bounds by offering common solutions to apparently diverse problems and providing a new unifying perspective on problems of cancer genome research. In this paper, we provide a survey of how wavelet analysis has been applied to cancer bioinformatics questions. Specifically, we discuss several approaches of representing the biological sequence data numerically and methods of using wavelet analysis on the numerical sequences.
Starting Page	1442
Ending Page	14359
Page Count	12918
File Format	PDF
ISSN	15455963
DOI	10.1109/TCBB.2013.134
Volume Number	10
Issue Number	6
Journal	IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-01
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cancer genome, wavelet analysis, driver mutation, passenger mutation
Content Type	Text
Resource Type	Article
Subject	Genetics Biotechnology Applied Mathematics

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