| Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences T Mi, JC Merlin, S Deverasetty, MR Gryk, TJ Bill, AW Brooks, LY Lee, ... Nucleic acids research, gkr1189, 2011 | 85 | 2011 |
| Minimotif miner 2nd release: a database and web system for motif search S Rajasekaran, S Balla, P Gradie, MR Gryk, K Kadaveru, V Kundeti, ... Nucleic acids research 37 (suppl_1), D185-D190, 2009 | 76 | 2009 |
| Efficient algorithms for fast integration on large data sets from multiple sources T Mi, S Rajasekaran, R Aseltine BMC medical informatics and decision making 12 (1), 59, 2012 | 35 | 2012 |
| Efficient sequential and parallel algorithms for record linkage AA Mamun, T Mi, R Aseltine, S Rajasekaran Journal of the American Medical Informatics Association 21 (2), 252-262, 2014 | 24 | 2014 |
| A computational tool for identifying minimotifs in protein–protein interactions and improving the accuracy of minimotif predictions S Rajasekaran, JC Merlin, V Kundeti, T Mi, A Oommen, J Vyas, I Alaniz, ... Proteins: Structure, Function, and Bioinformatics 79 (1), 153-164, 2011 | 19 | 2011 |
| Partitioning of minimotifs based on function with improved prediction accuracy S Rajasekaran, T Mi, JC Merlin, A Oommen, P Gradie, MR Schiller PLoS One 5 (8), e12276, 2010 | 12 | 2010 |
| Data integration on multiple data sets T Mi, R Aseltine, S Rajasekaran 2008 IEEE International Conference on Bioinformatics and Biomedicine, 443-446, 2008 | 8 | 2008 |
| Reducing false-positive prediction of minimotifs with a genetic interaction filter JC Merlin, S Rajasekaran, T Mi, MR Schiller PLoS One 7 (3), e32630, 2012 | 7 | 2012 |
| Achieving high accuracy prediction of minimotifs T Mi, S Rajasekaran, JC Merlin, M Gryk, MR Schiller Public Library of Science 7 (9), e45589, 2012 | 6 | 2012 |
| A two-pass exact algorithm for selection on Parallel Disk Systems T Mi, S Rajasekaran 2013 IEEE Symposium on Computers and Communications (ISCC), 000612-000617, 2013 | 4 | 2013 |
| Efficient algorithms for biological stems search T Mi, S Rajasekaran BMC bioinformatics 14, 1-9, 2013 | 2 | 2013 |
| Efficient Techniques for Big Data Processing in Data Integration and Motif Search T Mi University of Connecticut, 2013 | | 2013 |
Sanguthevar RajasekaranProfessor of Computer Science and Engineering, University of Connecticut在 engr.uconn.edu 的电子邮件经过验证
Sanguthevar RajasekaranProfessor of Computer Science and Engineering, University of Connecticut在 engr.uconn.edu 的电子邮件经过验证