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Panayiotis V. Benos: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Shaun Mahony, Aaron Golden, Terry J. Smith, Panayiotis V. Benos
    Improved detection of DNA motifs using a self-organized clustering of familial binding profiles. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2005, pp:283-291 [Conf]
  2. Panayiotis V. Benos, Alan S. Lapedes, D. S. Fields, Gary D. Stormo
    SAMIE: Statistical Algorithm for Modeling Interaction Energies. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2001, pp:115-126 [Conf]
  3. David L. Corcoran, Eleanor Feingold, Panayiotis V. Benos
    FOOTER: a web tool for finding mammalian DNA regulatory regions using phylogenetic footprinting. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2005, v:33, n:Web-Server-Issue, pp:442-446 [Journal]
  4. Steven Ringquist, Christopher Pecoraro, Crystal M. S. Gilchrist, Alexis Styche, William A. Rudert, Panayiotis V. Benos, Massimo Trucco
    SOP3v2: web-based selection of oligonucleotide primer trios for genotyping of human and mouse polymorphisms. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2005, v:33, n:Web-Server-Issue, pp:548-552 [Journal]
  5. 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]
  6. Shaun Mahony, Panayiotis V. Benos, Terry J. Smith, Aaron Golden
    Self-organizing neural networks to support the discovery of DNA-binding motifs. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:6-7, pp:950-962 [Journal]

  7. Inferring protein-DNA dependencies using motif alignments and mutual information. [Citation Graph (, )][DBLP]

  8. Biological evaluation of biclustering algorithms using Gene Ontology and chIP-chip data. [Citation Graph (, )][DBLP]

  9. Extracting biologically significant patterns from short time series gene expression data. [Citation Graph (, )][DBLP]

  10. HHMMiR: efficient de novo prediction of microRNAs using hierarchical hidden Markov models. [Citation Graph (, )][DBLP]

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