Tenneti, Srikanth V. and Vaidyanathan, P. P. (2016) Detection of protein repeats using the Ramanujan Filter Bank. In: 50th Asilomar Conference on Signals, Systems and Computers. IEEE , Piscataway, NJ, pp. 351-355. ISBN 978-1-5386-3954-2. https://resolver.caltech.edu/CaltechAUTHORS:20170308-163329746
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Abstract
Protein repeats are tandemly repeating segments within an amino acid sequence. They induce several important structural and binding properties on the protein. So far, the most successful detection schemes for such repeats have used computationally expensive techniques such as dynamic programming algorithms, HMMs, and so on. Classical DSP tools such as STFT, unfortunately, perform poorly in the presence of mutations. In this work, a novel technique is proposed based on the recently developed Ramanujan Filter Bank. Fast, accurate, and involving only simple integer computations, its performance is demonstrated on several well-known repeat families.
| Item Type: | Book Section | |||||||||
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| Additional Information: | © 2016 IEEE. This work was supported by the ONR grant N00014-15-1-2118. | |||||||||
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| DOI: | 10.1109/ACSSC.2016.7869058 | |||||||||
| Record Number: | CaltechAUTHORS:20170308-163329746 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20170308-163329746 | |||||||||
| Official Citation: | S. V. Tenneti and P. P. Vaidyanathan, "Detection of protein repeats using the Ramanujan Filter Bank," 2016 50th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 2016, pp. 351-355. doi: 10.1109/ACSSC.2016.7869058 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 74948 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Kristin Buxton | |||||||||
| Deposited On: | 09 Mar 2017 04:59 | |||||||||
| Last Modified: | 15 Nov 2021 16:29 |
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