A symbolic representation of time series, with implications for streaming algorithms J Lin, E Keogh, S Lonardi, B Chiu Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining …, 2003 | 2797 | 2003 |
A whole-genome assembly of Drosophila EW Myers, GG Sutton, AL Delcher, IM Dew, DP Fasulo, MJ Flanigan, ... Science 287 (5461), 2196-2204, 2000 | 2133 | 2000 |
Experiencing SAX: a novel symbolic representation of time series J Lin, E Keogh, L Wei, S Lonardi Data Mining and knowledge discovery 15, 107-144, 2007 | 2099 | 2007 |
A physical, genetic and functional sequence assembly of the barley genome. KF Mayer, R Waugh, P Langridge, TJ Close, RP Wise, A Graner, ... Nature, 2012 | 1542 | 2012 |
A chromosome conformation capture ordered sequence of the barley genome M Mascher, H Gundlach, A Himmelbach, S Beier, SO Twardziok, T Wicker, ... Nature 544 (7651), 427-433, 2017 | 1374 | 2017 |
Towards parameter-free data mining E Keogh, S Lonardi, CA Ratanamahatana Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 869 | 2004 |
Probabilistic discovery of time series motifs B Chiu, E Keogh, S Lonardi Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 828 | 2003 |
Development and implementation of high-throughput SNP genotyping in barley TJ Close, PR Bhat, S Lonardi, Y Wu, N Rostoks, L Ramsay, A Druka, ... BMC genomics 10, 1-13, 2009 | 731 | 2009 |
CLARK: fast and accurate classification of metagenomic and genomic sequences using discriminative k-mers R Ounit, S Wanamaker, TJ Close, S Lonardi BMC genomics 16, 1-13, 2015 | 635 | 2015 |
Efficient and accurate construction of genetic linkage maps from the minimum spanning tree of a graph Y Wu, PR Bhat, TJ Close, S Lonardi PLoS genetics 4 (10), e1000212, 2008 | 600 | 2008 |
Finding surprising patterns in a time series database in linear time and space E Keogh, S Lonardi, BY Chiu Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 585 | 2002 |
Composition Profiler: a tool for discovery and visualization of amino acid composition differences V Vacic, VN Uversky, AK Dunker, S Lonardi BMC bioinformatics 8, 1-7, 2007 | 436 | 2007 |
Immune profile and mitotic index of metastatic melanoma lesions enhance clinical staging in predicting patient survival D Bogunovic, DW O'Neill, I Belitskaya-Levy, V Vacic, YL Yu, S Adams, ... Proceedings of the National Academy of Sciences 106 (48), 20429-20434, 2009 | 412 | 2009 |
Mining motifs in massive time series databases P Patel, E Keogh, J Lin, S Lonardi 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 370-377, 2002 | 354 | 2002 |
Comprehensive benchmarking and ensemble approaches for metagenomic classifiers ABR McIntyre, R Ounit, E Afshinnekoo, RJ Prill, E Hénaff, N Alexander, ... Genome biology 18, 1-19, 2017 | 314 | 2017 |
The genome of cowpea (Vigna unguiculata [L.] Walp.) S Lonardi, M Muñoz‐Amatriaín, Q Liang, S Shu, SI Wanamaker, S Lo, ... The Plant Journal 98 (5), 767-782, 2019 | 301 | 2019 |
Visually mining and monitoring massive time series J Lin, E Keogh, S Lonardi, JP Lankford, DM Nystrom Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 237 | 2004 |
Assignment of orthologous genes via genome rearrangement X Chen, J Zheng, Z Fu, P Nan, Y Zhong, S Lonardi, T Jiang IEEE/ACM Trans Comput Biol Bioinformatics 2 (4), 302-15, 2005 | 236* | 2005 |
Time-series bitmaps: a practical visualization tool for working with large time series databases N Kumar, VN Lolla, E Keogh, S Lonardi, CA Ratanamahatana, L Wei Proceedings of the 2005 SIAM international conference on data mining, 531-535, 2005 | 212 | 2005 |
Assumption-Free Anomaly Detection in Time Series. L Wei, N Kumar, VN Lolla, EJ Keogh, S Lonardi, ... SSDBM 5, 237-242, 2005 | 211 | 2005 |