| Genetic network inference: from co-expression clustering to reverse engineering P D’haeseleer, S Liang, R Somogyi Bioinformatics 16 (8), 707-726, 2000 | 1285 | 2000 |
| Deep-sea oil plume enriches indigenous oil-degrading bacteria TC Hazen, EA Dubinsky, TZ DeSantis, GL Andersen, YM Piceno, N Singh, ... Science 330 (6001), 204-208, 2010 | 1275 | 2010 |
| A phylogeny-driven genomic encyclopaedia of Bacteria and Archaea D Wu, P Hugenholtz, K Mavromatis, R Pukall, E Dalin, NN Ivanova, ... Nature 462 (7276), 1056-1060, 2009 | 1046 | 2009 |
| Linear modeling of mRNA expression levels during CNS development and injury P D'haeseleer, X Wen, S Fuhrman, R Somogyi Pacific Symposium on Biocomputing '99, 41-52, 1999 | 750 | 1999 |
| An immunological approach to change detection: Algorithms, analysis and implications P D'haeseleer, S Forrest, P Helman Proceedings 1996 IEEE Symposium on Security and Privacy, 110-119, 1996 | 681 | 1996 |
| How does gene expression clustering work? P D'haeseleer Nature biotechnology 23 (12), 1499-1501, 2005 | 664 | 2005 |
| What are DNA sequence motifs? P D'haeseleer Nature biotechnology 24 (4), 423-425, 2006 | 398 | 2006 |
| Automated modelling of signal transduction networks M Steffen, A Petti, J Aach, P D'haeseleer, G Church BMC bioinformatics 3 (1), 1-11, 2002 | 302 | 2002 |
| Microbial gene functions enriched in the Deepwater Horizon deep-sea oil plume Z Lu, Y Deng, JD Van Nostrand, Z He, J Voordeckers, A Zhou, YJ Lee, ... The ISME Journal 6 (2), 451-460, 2011 | 287 | 2011 |
| Targeted discovery of glycoside hydrolases from a switchgrass-adapted compost community M Allgaier, A Reddy, JI Park, N Ivanova, P D'haeseleer, S Lowry, R Sapra, ... Plos one 5 (1), e8812, 2010 | 187 | 2010 |
| Context preserving crossover in genetic programming P D'haeseleer Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE …, 1994 | 167 | 1994 |
| How does DNA sequence motif discovery work? P D'haeseleer Nature biotechnology 24 (8), 959-961, 2006 | 166 | 2006 |
| Mining the gene expression matrix: Inferring gene relationships from large scale gene expression data P D’haeseleer, X Wen, S Fuhrman, R Somogyi Information processing in cells and tissues, 203-212, 1998 | 143 | 1998 |
| A thermophilic ionic liquid-tolerant cellulase cocktail for the production of cellulosic biofuels JI Park, EJ Steen, H Burd, SS Evans, AM Redding-Johnson, T Batth, ... PloS one 7 (5), e37010, 2012 | 141 | 2012 |
| Complete genome sequence of Kytococcus sedentarius type strain (541T) D Sims, T Brettin, JC Detter, C Han, A Lapidus, A Copeland, TG Del Rio, ... Standards in Genomic Sciences 1 (1), 12-21, 2009 | 119 | 2009 |
| Strategies for enhancing the effectiveness of metagenomic-based enzyme discovery in lignocellulolytic microbial communities KM DeAngelis, JM Gladden, M Allgaier, P D’haeseleer, JL Fortney, ... Bioenergy Research 3, 146-158, 2010 | 117 | 2010 |
| Reconstructing gene networks from large scale gene expression data P D'haeseleer The University of New Mexico, 2000 | 104 | 2000 |
| Deciphering principles of transcription regulation in eukaryotic genomes DH Nguyen, P D'haeseleer Molecular systems biology 2 (1), 2006.0012, 2006 | 94 | 2006 |
| From annotated genomes to metabolic flux models and kinetic parameter fitting D Segrč, J Zucker, J Katz, X Lin, P D'haeseleer, WP Rindone, ... OMICS A Journal of Integrative Biology 7 (3), 301-316, 2003 | 93 | 2003 |
| Gene expression data analysis and modeling P D’haeseleer, S Liang, R Somogyi Pacific symposium on biocomputing 99, 1999 | 93 | 1999 |
Blake A. SimmonsLawrence Berkeley National LaboratoryVerified email at lbl.gov
