G Z Hertz

Summary

Affiliation: University of Colorado
Country: USA

Publications

  1. ncbi Identifying DNA and protein patterns with statistically significant alignments of multiple sequences
    G Z Hertz
    Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309 0347, USA
    Bioinformatics 15:563-77. 1999
  2. ncbi MATRIX SEARCH 1.0: a computer program that scans DNA sequences for transcriptional elements using a database of weight matrices
    Q K Chen
    Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder 80309 0347, USA
    Comput Appl Biosci 11:563-6. 1995
  3. ncbi PromFD 1.0: a computer program that predicts eukaryotic pol II promoters using strings and IMD matrices
    Q K Chen
    Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder 80309 0347, USA
    Comput Appl Biosci 13:29-35. 1997

Collaborators

Detail Information

Publications3

  1. ncbi Identifying DNA and protein patterns with statistically significant alignments of multiple sequences
    G Z Hertz
    Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309 0347, USA
    Bioinformatics 15:563-77. 1999
    ..If the alignment is not known, one can be determined by finding an alignment that optimizes the scoring scheme...
  2. ncbi MATRIX SEARCH 1.0: a computer program that scans DNA sequences for transcriptional elements using a database of weight matrices
    Q K Chen
    Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder 80309 0347, USA
    Comput Appl Biosci 11:563-6. 1995
    ..The source code for MATRIX SEARCH is in the 'C' language, and the program is available for unix platforms...
  3. ncbi PromFD 1.0: a computer program that predicts eukaryotic pol II promoters using strings and IMD matrices
    Q K Chen
    Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder 80309 0347, USA
    Comput Appl Biosci 13:29-35. 1997
    ..PromFD uses a new approach and its false-positive identification rate is better compared with other available promoter recognition algorithms. The source code for PromFD is in the 'c+2' language...