Empirical analysis of transcriptional activity in the Arabidopsis genome K Yamada, J Lim, JM Dale, H Chen, P Shinn, CJ Palm, AM Southwick, ... Science 302 (5646), 842-846, 2003 | 1066 | 2003 |
The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases R Caspi, T Altman, JM Dale, K Dreher, CA Fulcher, F Gilham, P Kaipa, ... Nucleic acids research 38 (suppl_1), D473-D479, 2010 | 607 | 2010 |
Pathway Tools version 13.0: integrated software for pathway/genome informatics and systems biology PD Karp, SM Paley, M Krummenacker, M Latendresse, JM Dale, TJ Lee, ... Briefings in bioinformatics 11 (1), 40-79, 2010 | 591 | 2010 |
Machine learning methods for metabolic pathway prediction JM Dale, L Popescu, PD Karp BMC bioinformatics 11, 1-14, 2010 | 211 | 2010 |
Identification of inhibitors of auxin transcriptional activation by means of chemical genetics in Arabidopsis JI Armstrong, S Yuan, JM Dale, VN Tanner, A Theologis Proceedings of the National Academy of Sciences 101 (41), 14978-14983, 2004 | 137 | 2004 |
A systematic study of genome context methods: calibration, normalization and combination L Ferrer, JM Dale, PD Karp BMC bioinformatics 11, 1-24, 2010 | 37 | 2010 |
Subfamily hmms in functional genomics D Brown, N Krishnamurthy, JM Dale, W Christopher, K Sjölander Biocomputing 2005, 322-333, 2005 | 23 | 2005 |
The Pathway Tools Software in 2009 PD Karp, SM Paley, M Krummenacker, M Latendresse, JM Dale, T Lee, ... S225–S232 p, 0 | 1 | |
Multiple-species Network-based Protein Classification JM Dale University of California, Berkeley with the University of California, San …, 2008 | | 2008 |