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Maize-GAMER: GO Annotations, Methods, Evaluation and Review

dataset
posted on 2023-11-30, 08:10 authored by Plant Informatics and Computation Lab (PICL), Iowa State University
<p>maize-GAMER is a collaborative project to improve the status of gene functional annotation in maize (<em>Zea mays</em>). The project has three main areas of focus, namely</p> <ul> <li>Design a pipeline for the functional annotation of maize genes.</li> <li>Use manually curated test data to evaluate the annotations and generate a best subset of annotations for use</li> <li> <p>Design a user friendly review system for the community to provide feedback and endorsements of the annotations</p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Maize-GAMER: GO Annotations, Methods, Evaluation and Review.</p> <p>File Name: Web Page, url: <a href="https://dill-picl.org/projects/maize-gamer/" target="_blank">https://dill-picl.org/projects/maize-gamer/</a> </p><p>Predicting Annotations; Evaluating Annotations; Reviewing Annotations.</p></li></ul> </li> </ul>

Funding

National Science Foundation,

Iowa State University,

National Institute of Food and Agriculture,

History

Data contact name

Lawrence-Dill, Carolyn J.

Data contact email

triffid@iastate.edu

Publisher

Iowa State University of Science and Technology

Theme

  • Not specified

ISO Topic Category

  • biota
  • farming

National Agricultural Library Thesaurus terms

genes; corn; gene ontology; plant genetic resources; Zea mays

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

Plant Informatics and Computation Lab (PICL), Iowa State University (2018). Maize-GAMER: GO Annotations, Methods, Evaluation and Review. Iowa State University of Science and Technology.

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