DocumentCode :
3394228
Title :
Degenerate primer selection algorithms
Author :
Sharma, Dolly ; Balla, Sudha ; Rajasekaran, Saguthevar ; DiGirolamo, Nikoletta
Author_Institution :
Comput. Sci. & Eng., Univ. of Connecticut, Storrs, CT
fYear :
2009
fDate :
March 30 2009-April 2 2009
Firstpage :
155
Lastpage :
162
Abstract :
The multiplex polymerase chain reaction (MP-PCR) is a quick and inexpensive technique in molecular biology for amplifying multiple DNA loci in a single Polymerase Chain Reaction (PCR). One of the criteria to achieve highly specific reaction products is to keep the concentration of the amplification primers low. In research, the dilemma associated with primer minimization for MP-PCR reactions has been formulated as the Multiple Degenerate Primer Selection Problem (MDPSP). MDPSP is related to the earlier Degenerate Primer Design (DPD) problem that has proven to be NP-complete. This paper formulates a new, so far, unexplored variant, the Multiple Degenerate Primer Selection Problem with Errors (MDPSPE) and introduces new algorithms for solving this new version. Furthermore, we implement an exact algorithm, DPS-HDR for solving the earlier MDPSP and compare the algorithm´s performance on randomly generated data sets with DPS-HD, thus far the most efficient algorithm for solving MDPSP introduced in. We expect to reduce the execution time of the algorithm in comparison to DPS-HD.
Keywords :
DNA; biology computing; computational complexity; genomics; molecular biophysics; optimisation; DPD problem; DPS-HDR algorithm; MDPSP; MP-PCR; NP complete problem; degenerate primer design problem; degenerate primer selection algorithm; molecular biology; multiple DNA loci amplification; multiple degenerate primer selection problem; multiplex polymerase chain reaction; primer amplification concentration; primer minimization; specific reaction products; Biochemistry; Biology; Computer science; Costs; DNA; History; Polymers; Sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Bioinformatics and Computational Biology, 2009. CIBCB '09. IEEE Symposium on
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2756-7
Type :
conf
DOI :
10.1109/CIBCB.2009.4925722
Filename :
4925722
Link To Document :
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