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Maize Genetics Cooperation Stock Center Catalog of Stocks

    The Maize Genetics Cooperation Stock Center is operated by USDA/ARS, located at the University of Illinois, Urbana/Champaign, and integrated with the National Plant Germplasm System (NPGS). The center serves the maize research community by collecting, maintaining and distributing seeds of maize genetic stocks, and providing information about maize stocks and the mutations they carry through the Maize Genetics and Genomics Database (MaizeGDB).

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

      maize-GAMER is a collaborative project to improve the status of gene functional annotation in maize (*Zea mays*). The project has three main areas of focus, namely * Design a pipeline for the functional annotation of maize genes. * Use manually curated test data to evaluate the annotations and generate a best subset of annotations for use * Design a user friendly review system for the community to provide feedback and endorsements of the annotations

      BrAPI

        The Breeding API (BrAPI) Project is an effort to create a RESTful specification to enable interoperability among plant breeding databases. The Breeding API specifies a standard interface for plant phenotype/genotype databases to serve their data to crop breeding applications. It is a shared, open API, to be used by all data providers and data consumers who wish to participate.

        BAR- The Bio-Analytic Resource for Plant Biology

          BAR is a collection of web-based, user-friendly tools for exploring, visualizing, and analyzing large datasets from plants. Supported are expression data, Next-Gen sequence data, protein-protein interactions, polymorphisms / conservation, and protein 3-D structures.

          Genome Database for Vaccinium

            The Genome Database for Vaccinium (GDV) is a curated and integrated web-based relational database. The GDV is being developed to house and integrate genomic, genetic and breeding data for blueberry, cranberry and other Vaccinium species. The GDV will include the blueberry genome being sequenced by North Carolina State University, and annotated transcripts, traits, maps and markers being generated by Vaccinium researchers.

            Citrus Genome Database

              The Citrus Genome Database, known as CGD, is a USDA and NSF funded resource to enable basic, translational and applied research in citrus. It houses genomics, genetics and breeding data for citrus species and organisms associated with HLB. It is built by the Mainlab at Washingotn State University using the open-source, generic database platform Tripal.

              Gerris buenoi Genome Assembly 1.0

                The Baylor College of Medicine recently sequenced and annotated the Gerris buenoi genome as part of the i5k pilot project. This dataset presents the Gerris buenoi genome v1.0. This assembly version is the pre-release version, prior to filtering and quality control by the National Center for Biotechnology Information's GenBank resource. The corresponding genome assembly in [GCA_001010745.1](https://www.ncbi.nlm.nih.gov/assembly/GCA_001010745.1/)

                Gerris buenoi genome annotations v0.5.3

                  The Gerris buenoi genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine. This dataset presents the Gerris buenoi gene set BCM_v_0.5.3, which was generated computationally. RNA-Seq data was used with additional protein homology data for a MAKER automated annotation of the Gerris buenoi genome assembly 1.0. NOTE: This gene set is an unstable pre-release (v0.5.3), and was provided to facilitate manual curation and analyses before the official gene set is released. Gene identifiers from this gene set will likely not be maintained.

                  Gerris buenoi Official Gene set v1.0

                    The Gerris buenoi genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine. The Gerris buenoi research community has manually reviewed and curated the computational gene predictions and generated an official gene set, OGSv1.0. The OGS is an integration of automatic gene predictions from Maker (performed by Dan Hughes at Baylor College of Medicine) with manual annotations by the research community (done via the Apollo manual annotation software).

                    Hyalella azteca Genome Annotations v0.5.3

                      The Baylor College of Medicine recently sequenced and annotated the Hyalella azteca genome as part of the i5k pilot project. This dataset presents the Hyalella azteca gene set BCM_v_0.5.3, which was generated computationally. RNA-Seq data was used with additional protein homology data for a MAKER automated annotation of the Hyalella azteca genome assembly 1.0. Further annotation method details will be available in a forthcoming publication.

                      NOTE: This gene set is an unstable pre-release (v0.5.3), and was provided to facilitate manual curation and analyses before the official gene set is released. Gene identifiers from this gene set will likely not be maintained.