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Model discovery specifications


Unique identifier OMICS_33414
Name Model discovery
Restrictions to use None
Database management system Other
Community driven No
Data access File download, Browse
User data submission Not allowed
Maintained Yes


  • person_outline Dewan Sarwar
  • person_outline David Nickerson

Additional information

Publication for Model discovery

Model discovery citations


Leptomeningeal Contrast Enhancement Is Associated with Disability Progression and Grey Matter Atrophy in Multiple Sclerosis

PMCID: 5643086
PMID: 29291134
DOI: 10.1155/2017/8652463

[…] tudy by Aloisi et al. Scans were acquired on General Electric (GE) Signa (General Electric Healthcare, Milwaukee, WI) 3T machine. MRI sequence protocol was as follows: manufacturer: General Electric; model discovery: 750 w; receive channels: 24; sequence name: CUBE; imaging plane: sagittal; imaging resolution (mm): 1 × 1 × 1; repetition time (TR, ms): 6500; echo time (TE, ms): 90; inversion time ( […]


Genomic structure of the horse major histocompatibility complex class II region resolved using PacBio long read sequencing technology

Sci Rep
PMCID: 5374520
PMID: 28361880
DOI: 10.1038/srep45518

[…] To achieve a higher sensitivity in gene model discovery, we masked repetitive sequences present in the insert sequence of each BAC using the online version of RepeatMasker. Masked sequences were subjected to automated and manual annotation. […]


Adaptive bill morphology for enhanced tool manipulation in New Caledonian crows

Sci Rep
PMCID: 4783770
PMID: 26955788
DOI: 10.1038/srep22776

[…] yo following a culling operation. We scanned the six dried and degreased bills with the rhamphotheca removed.The six skulls were scanned at the Auckland Radiology Group, Auckland, using a GE scanner (model Discovery CT750 HD) with an in-plane resolution of 0.14 mm/pixel and a gap size of 0.6 mm between images. The cranium and the upper mandible were scanned separately from the lower mandible. The […]


Preclinical molecular imaging: development of instrumentation for translational research with small laboratory animals

PMCID: 5234755
PMID: 27759832
DOI: 10.1590/S1679-45082016AO3696

[…] We used a SPECT gamma-camera that was removed from the clinical service, model Discovery VH (General Electric Healthcare, Milwaukee, WI, USA), containing two NaI(Tl) detectors, with a useful area of 540mm×400mm and 9.5mm thick, intrinsic spatial resolution of 3.9mm and ene […]


Design of a flexible component gathering algorithm for converting cell based models to graph representations for use in evolutionary search

BMC Bioinformatics
PMCID: 4083366
PMID: 24917489
DOI: 10.1186/1471-2105-15-178

[…] s translation of multicellular simulation output into a formal graph representation equivalent to that described by Lobo and colleagues [,]. This real-time translation is central to the automation of model discovery as it enables use of a fitness metric based upon a graph-edit distance calculation, which quantitatively compares simulation output and target morphologies stored in the PlanformDB. Th […]


Predictive modeling of nanomaterial exposure effects in biological systems

PMCID: 3790277
PMID: 24098077
DOI: 10.2147/IJN.S40742

[…] We developed a data mining solution for NEI modeling by leveraging IAI’s data mining tool ABMiner., ABMiner supports the full data mining cycle, including data set preparation, model discovery, and model deployment. For data set preparation, ABMiner provides an interface which helps the user to load data from various sources (eg, CVS files, and relational databases). For mod […]


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Model discovery institution(s)
Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA; Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI, USA; Center for Global Infectious Disease Research, Seattle Children’s Research Institute, Seattle, WA, USA
Model discovery funding source(s)
Supported by the Medical Technologies Centre of Research Excellence’s Doctoral Scholarship, an Aotearoa Foundation Fellowship and by the National Institutes of Health grant R01LM011969.

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