Nomi Harris

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SUMMARY Apollo is a genome annotation-editing tool with an easy to use graphical interface. It is a component of the GMOD project, with ongoing development driven by the community. Recent additions to the software include support for the generic feature format version 3 (GFF3), continuous transcriptome data, a full Chado database interface, integration with(More)
  • Jonathan Amsterdam, Peter Breedveld, Michael Caine, David Clemens, William Durfee, Derek Row-Ell +29 others
  • 1993
This report describes MM, a computer program that can model a variety of mechanical and uid systems. It addresses several issues: What is the appropriate input to the modeling process? How should the search for models be organized? What evidence can be brought to bear to constrain the task? MM takes as input both a description of the structure of the system(More)
Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools for its interpretation can find mutual understanding and consensus. Much conversation and joint investigation are required in order to identify and(More)
  • Jonathan Amsterdam, Peter Breedveld, Michael Caine, David Clemens, William Durfee, Derek Row-Ell +30 others
  • 1993
This report describes MM, a computer program that can model a variety of mechanical and uid systems. It addresses several issues: What is the appropriate input to the modeling process? How should the search for models be organized? What evidence can be brought to bear to constrain the task? MM takes as input both a description of the structure of the system(More)
In model based recognition the problem is to locate an instance of one or several known objects in an image. The problem is compounded in real images by the presence of clutter (features not arising from the model), occlusion (absence in the image of features belonging to the model), and sensor error (displacement of features from their actual location).(More)
In model based recognition the problem is to locate an instance of one or several known objects in an image. The problem is compounded in real images by the presence of clutter (features not arising from the model), occlusion (absence in the image of features belonging to the model), and sensor error (displacement of features from their actual location).(More)
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