U.S. flag

An official website of the United States government

AgBioData

AgBioData is a consortium of people working at agricultural biological databases, data archives and knowledgebases who strives to identify common issues in database development, curation, and management, with the goal of creating database products that are more Findable, Accessible, Interoperable, and Reusable (FAIR). Currently, there are over 150 people from 30 different databases and resources within the AgBioData consortium. We strive to promote authentic, detailed and accurate communication between all parties involved in scientific data.

For all agriculturally database personnel, we recommend joining the AgBioData consortium, attending the monthly conference call seminars, joining a working group, and working with your counterparts in other databases. A little time invested now in working together and applying common standards can save a lot of time later and prevent duplicated efforts in the development of tools and resources.

Author Name

User-supplied tags

AgBioData Datasets

35 datasets

The GRIN-Global Project

    GRIN-Global is an ongoing international collaborative project to develop shared and open-source applications that help manage plant germplasm collections.

    Germplasm Resources Information Network (GRIN)

      The Germplasm Resources Information Network (GRIN) is an online portal for information about agricultural genetic resources that are managed by the Agricultural Research Service of USDA, along with U.S. partnering organizations.

      Germplasm Resources Information Network (GRIN)

        The Germplasm Resources Information Network (GRIN) is an online portal for information about agricultural genetic resources that are managed by the Agricultural Research Service of USDA, along with U.S. partnering organizations.

        The Animal Quantitative Trait Loci Database (Animal QTLdb)

          The Animal Quantitative Trait Loci (QTL) Database (Animal QTLdb) strives to collect all publicly available trait mapping data, i.e. QTL (phenotype/expression, eQTL), candidate gene and association data (GWAS), and copy number variations (CNV) mapped to livestock animal genomes, in order to facilitate locating and comparing discoveries within and between species. New data and database tools are continually developed to align various trait mapping data to map-based genome features such as annotated genes.

          Gramene

            Gramene is a curated, open-source, integrated data resource for comparative functional genomics in crops and model plant species.

            Data from: Estimation of pool construction and technical error

              Animals were incorporated into pools in different proportions to estimate error and evaluate factors influencing error. Animals were incorporated into 2 types of pools, sub-pools and super pools. Within phenotype, liver abscess or normal, 16 animals were combined into 4 sub-pools, 4 animals per sub-pool in parts of 1:2:3:4. Sub-pools were constructed based on crushed frozen liver tissue mass. Within phenotype, 4 sub-pools were incorporated into 2 super pools in parts of 1:2:3:4 for super pool 1 and 3:4:1:2 for super pool 2. Super pools were made based on DNA quantity. Errors in DNA quantification would create error in forming super pools from sub-pools and variation in cell content or DNA content of liver tissue would result in error in combining sub-pools from animals.