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Christopher T. Workman: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. D. C. Weaver, Christopher T. Workman, Gary D. Stormo
    Modeling Regulatory Networks with Weight Matrices. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 1999, pp:112-123 [Conf]
  2. Samuel Levy, Sridhar Hannenhalli, Christopher T. Workman
    Enrichment of regulatory signals in conserved non-coding genomic sequence. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:10, pp:871-877 [Journal]
  3. Jeppe S. Spicker, Friedrik Wikman, Ming-Lan Lu, Carlos Cordon-Cardo, Christopher T. Workman, Torben F. Ørntoft, Søren Brunak, Steen Knudsen
    Neural network predicts sequence of TP53 gene based on DNA chip. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:8, pp:1133-1134 [Journal]
  4. Jens Hollunder, Maik Friedel, Andreas Beyer, Christopher T. Workman, Thomas Wilhelm
    DASS: efficient discovery and p-value calculation of substructures in unordered data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:1, pp:77-83 [Journal]
  5. Steen Knudsen, Christopher T. Workman, Thomas Sicheritz-Ponten, Carsten Friis
    GenePublisher: automated analysis of DNA microarray data. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2003, v:31, n:13, pp:3471-3476 [Journal]
  6. Christopher T. Workman, Yutong Yin, David L. Corcoran, Trey Ideker, Gary D. Stormo, Panayiotis V. Benos
    enoLOGOS: a versatile web tool for energy normalized sequence logos. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2005, v:33, n:Web-Server-Issue, pp:389-392 [Journal]

  7. Predicting functionality of protein-DNA interactions by integrating diverse evidence. [Citation Graph (, )][DBLP]


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