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Sanguthevar Rajasekaran PhD
Title Professor
Institution University of Connecticut
Department Computer Science and Engineering
Address Information Technologies Engineering Building, UNIT 2155
371 Fairfield Way
Storrs, CT 06269
Telephone 860-486-2428
Email
Other Positions
Title Director
Institution University of Connecticut
Department Booth Engineering Center for Advanced Technology (BECAT)
Awards and Honors
2003 Connecticut Academy of Science and Engineering Elected Member
2008 IEEE Fellow
2009 AAAS Fellow
Publications
1. Lyon KF, Strong CL, Schooler SG, Young RJ, Roy N, Ozar B, Bachmeier M, Rajasekaran S, Schiller MR. Natural variability of minimotifs in 1092 people indicates that minimotifs are targets of evolution. Nucleic Acids Res. 2015 Jul 27; 43(13):6399-412.
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2. Mamun AA, Aseltine R, Rajasekaran S. RLT-S: A Web System for Record Linkage. PLoS One. 2015; 10(5):e0124449.
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3. Nicolae M, Rajasekaran S. CORRIGENDUM: qPMS9: An Efficient Algorithm for Quorum Planted Motif Search. Sci Rep. 2015; 5:9544.
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4. Hamdalla MA, Ammar RA, Rajasekaran S. A molecular structure matching approach to efficient identification of endogenous mammalian biochemical structures. BMC Bioinformatics. 2015 Mar 18; 16 Suppl 5:S11.
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5. Hamdalla MA, Rajasekaran S, Grant DF, Mandoiu II. Metabolic pathway predictions for metabolomics: a molecular structure matching approach. J Chem Inf Model. 2015 Mar 23; 55(3):709-18.
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6. Nicolae M, Rajasekaran S. qPMS9: An Efficient Algorithm for Quorum Planted Motif Search. Sci Rep. 2015; 5:7813.
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7. Saha S, Rajasekaran S. Efficient and scalable scaffolding using optical restriction maps. BMC Genomics. 2014; 15 Suppl 5:S5.
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8. Kundeti V, Rajasekaran S, Dinh H. Border length minimization problem on a square array. J Comput Biol. 2014 Jun; 21(6):446-55.
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9. Nicolae M, Rajasekaran S. Efficient sequential and parallel algorithms for planted motif search. BMC Bioinformatics. 2014; 15:34.
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10. Bandyopadhyay S, Sahni S, Rajasekaran S. PMS6: a fast algorithm for motif discovery. Int J Bioinform Res Appl. 2014; 10(4):369-83.
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11. Sharma D, Rajasekaran S, Pathak S. An experimental comparison of PMSprune and other algorithms for motif search. Int J Bioinform Res Appl. 2014 Jan 1; 10(6):559-73.
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12. Mandoiu I, Pop M, Rajasekaran S, Spouge JL. This special issue includes a selection of papers presented at the 2nd IEEE International Conference. Introduction. Int J Bioinform Res Appl. 2014; 10(4-5):341-4.
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13. Dinh H, Rajasekaran S. PMS: a panoptic motif search tool. PLoS One. 2013; 8(12):e80660.
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14. Mamun AA, Mi T, Aseltine R, Rajasekaran S. Efficient sequential and parallel algorithms for record linkage. J Am Med Inform Assoc. 2014 Mar-Apr; 21(2):252-62.
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15. Pilania G, Wang C, Jiang X, Rajasekaran S, Ramprasad R. Accelerating materials property predictions using machine learning. Sci Rep. 2013; 3:2810.
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16. Mi T, Rajasekaran S. Efficient algorithms for biological stems search. BMC Bioinformatics. 2013; 14:161.
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17. Saha S, Rajasekaran S, Bi J, Pathak S. Efficient techniques for genotype-phenotype correlational analysis. BMC Med Inform Decis Mak. 2013; 13:41.
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18. Hamdalla MA, Mandoiu II, Hill DW, Rajasekaran S, Grant DF. BioSM: metabolomics tool for identifying endogenous mammalian biochemical structures in chemical structure space. J Chem Inf Model. 2013 Mar 25; 53(3):601-12.
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19. Sargeant DP, Gryk MR, Maciejewski MW, Thapar V, Kundeti V, Rajasekaran S, Romero P, Dunker K, Li SC, Kaneko T, Schiller MR. Secondary structure, a missing component of sequence-based minimotif definitions. PLoS One. 2012; 7(12):e49957.
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20. Mi T, Rajasekaran S, Merlin JC, Gryk M, Schiller MR. Achieving high accuracy prediction of minimotifs. PLoS One. 2012; 7(9):e45589.
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21. Dinh H, Rajasekaran S, Davila J. qPMS7: a fast algorithm for finding (l, d)-motifs in DNA and protein sequences. PLoS One. 2012; 7(7):e41425.
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22. Mi T, Rajasekaran S, Aseltine R. Efficient algorithms for fast integration on large data sets from multiple sources. BMC Med Inform Decis Mak. 2012; 12:59.
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23. Merlin JC, Rajasekaran S, Mi T, Schiller MR. Reducing false-positive prediction of minimotifs with a genetic interaction filter. PLoS One. 2012; 7(3):e32630.
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24. Mi T, Merlin JC, Deverasetty S, Gryk MR, Bill TJ, Brooks AW, Lee LY, Rathnayake V, Ross CA, Sargeant DP, Strong CL, Watts P, Rajasekaran S, Schiller MR. Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences. Nucleic Acids Res. 2012 Jan; 40(Database issue):D252-60.
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25. Dinh H, Rajasekaran S, Kundeti VK. PMS5: an efficient exact algorithm for the (l, d)-motif finding problem. BMC Bioinformatics. 2011; 12:410.
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26. Borodovsky M, Przytycka TM, Rajasekaran S, Zelikovsky A. Guest editors' introduction to the special section on bioinformatics research and applications. IEEE/ACM Trans Comput Biol Bioinform. 2011 Jul-Aug; 8(4):865-6.
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27. Dinh H, Rajasekaran S. A memory-efficient data structure representing exact-match overlap graphs with application for next-generation DNA assembly. Bioinformatics. 2011 Jul 15; 27(14):1901-7.
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28. Rajasekaran S, Dinh H. A speedup technique for (l, d)-motif finding algorithms. BMC Res Notes. 2011; 4:54.
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29. Kundeti VK, Rajasekaran S, Dinh H, Vaughn M, Thapar V. Efficient parallel and out of core algorithms for constructing large bi-directed de Bruijn graphs. BMC Bioinformatics. 2010; 11:560.
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30. Ranaghan MJ, Shima S, Ramos L, Poulin DS, Whited G, Rajasekaran S, Stuart JA, Albert AD, Birge RR. Photochemical and thermal stability of green and blue proteorhodopsins: implications for protein-based bioelectronic devices. J Phys Chem B. 2010 Nov 11; 114(44):14064-70.
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31. Rajasekaran S, Merlin JC, Kundeti V, Mi T, Oommen A, Vyas J, Alaniz I, Chung K, Chowdhury F, Deverasatty S, Irvey TM, Lacambacal D, Lara D, Panchangam S, Rathnayake V, Watts P, Schiller MR. A computational tool for identifying minimotifs in protein-protein interactions and improving the accuracy of minimotif predictions. Proteins. 2011 Jan; 79(1):153-64.
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32. Rajasekaran S, Al Seesi S, Ammar RA. Improved algorithms for parsing ESLTAGs: a grammatical model suitable for RNA pseudoknots. IEEE/ACM Trans Comput Biol Bioinform. 2010 Oct-Dec; 7(4):619-27.
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33. Rajasekaran S, Mi T, Merlin JC, Oommen A, Gradie P, Schiller MR. Partitioning of minimotifs based on function with improved prediction accuracy. PLoS One. 2010; 5(8):e12276.
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34. Vyas J, Nowling RJ, Meusburger T, Sargeant D, Kadaveru K, Gryk MR, Kundeti V, Rajasekaran S, Schiller MR. MimoSA: a system for minimotif annotation. BMC Bioinformatics. 2010; 11:328.
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35. Song M, Rajasekaran S. A greedy algorithm for gene selection based on SVM and correlation. Int J Bioinform Res Appl. 2010; 6(3):296-307.
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36. Vyas J, Nowling RJ, Maciejewski MW, Rajasekaran S, Gryk MR, Schiller MR. A proposed syntax for Minimotif Semantics, version 1. BMC Genomics. 2009; 10:360.
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37. Rajasekaran S. Computational techniques for motif search. Front Biosci (Landmark Ed). 2009; 14:5052-65.
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38. Trinca D, Rajasekaran S. Optimized bzip2 compression for reducing diffraction effects in protein-based computing: a study of feasibility. Conf Proc IEEE Eng Med Biol Soc. 2009; 2009:2783-6.
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39. Rajasekaran S, Balla S, Gradie P, Gryk MR, Kadaveru K, Kundeti V, Maciejewski MW, Mi T, Rubino N, Vyas J, Schiller MR. Minimotif miner 2nd release: a database and web system for motif search. Nucleic Acids Res. 2009 Jan; 37(Database issue):D185-90.
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40. Davila J, Balla S, Rajasekaran S. Fast and practical algorithms for planted (l, d) motif search. IEEE/ACM Trans Comput Biol Bioinform. 2007 Oct-Dec; 4(4):544-52.
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41. Balla S, Rajasekaran S. An efficient algorithm for minimum degeneracy primer selection. IEEE Trans Nanobioscience. 2007 Mar; 6(1):12-7.
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42. Trumbower RD, Rajasekaran S, Faghri PD. Identifying offline muscle strength profiles sufficient for short-duration FES-LCE exercise: a PAC learning model approach. J Clin Monit Comput. 2006 Jun; 20(3):209-20.
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43. Balla S, Thapar V, Verma S, Luong T, Faghri T, Huang CH, Rajasekaran S, del Campo JJ, Shinn JH, Mohler WA, Maciejewski MW, Gryk MR, Piccirillo B, Schiller SR, Schiller MR. Minimotif Miner: a tool for investigating protein function. Nat Methods. 2006 Mar; 3(3):175-7.
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44. Rajasekaran S, Balla S, Huang CH. Exact algorithms for planted motif problems. J Comput Biol. 2005 Oct; 12(8):1117-28.
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45. Huang CH, Lanza V, Rajasekaran S, Dubitzky W. HealthGrid--bridging life science and information technology. J Clin Monit Comput. 2005 Oct; 19(4-5):259-62.
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46. Rajasekaran S, Balla S, Huang CH, Thapar V, Gryk M, Maciejewski M, Schiller M. High-performance exact algorithms for motif search. J Clin Monit Comput. 2005 Oct; 19(4-5):319-28.
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47. Rajasekaran S, Thapar V, Dave H, Huang CH. Randomized and parallel algorithms for distance matrix calculations in multiple sequence alignment. J Clin Monit Comput. 2005 Oct; 19(4-5):351-9.
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48. Huang CH, Rajasekaran S. Parallel pattern identification in biological sequences on clusters. IEEE Trans Nanobioscience. 2003 Mar; 2(1):29-34.
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Keyword
Last Name
Institution
    
 
 
 
Keywords   
Algorithms
Computational Biology
Amino Acid Motifs
Sequence Analysis, DNA
Proteins
See all (117) keywords
Co-Authors  
Ammar, Reda
Aseltine, Robert
Grant, David
Huang, Chun-Hsi
Mandoiu, Ion
See all (9) people
Physical Neighbors  
Bamis, Athanasios
Huang, Chun-Hsi
Cui, Jun-Hong
Khan, Mohammad
Ammar, Reda
 
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