IEEE Transactions on Computational Biology and Bioinformatics (TCBB) will move to the OnlinePlus publication model starting with 2015 issues!

From the November/December 2013 Issue

Wavelet Analysis in Current Cancer Genome Research: A Survey

By Tao Meng, Ahmed T. Soliman, Mei-Ling Shyu, Yimin Yang, Shu-Ching Chen, S.S. Iyengar, John S. Yordy, Puneeth Iyengar

Featured article thumbnail imageWith 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.

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Editorials and Announcements


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  • TCBB celebrates its 10th Anniversary. Editor-in-Chief Ying Xu says, "The emergence and maturation of increasingly more and powerful molecular measurement technologies such as next generation sequencing and chromosome conformation capture allow scientists to tackle biological problems at the depth and breadth that we have never seen before. At the same time the enormity and complexity of the data generated using these technologies raised tremendous challenges to computational scientists to develop more effective techniques to store, transmit, organize, process, analyze and mine the data, and to construct models to assist interpreting the data. Since its creation ten years ago, TCBB has been playing a major role in bridging the world of computing and the world of biology. I want to congratulate what the journal has done in providing biologists with the most powerful computational tools to help address their data and modeling needs. I fully expect that TCBB will continue to play increasingly significant roles in attracting more computational scientists to address the ever increasing needs for new and more powerful computational techniques and to introduce to new comers the important and challenging computational biology problems in a timely fashion."

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TCBB is a joint publication of the IEEE Computer Society, Association for Computing Machinery, IEEE Computational Intelligence Society, and the IEEE Engineering in Medicine and Biology Society.

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Published in cooperation with: IEEE Control Systems Society

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IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) is a bimonthly journal that publishes archival research results related to the algorithmic, mathematical, statistical, and computational methods that are central in bioinformatics and computational biology. 
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