U.S. flag

An official website of the United States government

The Ag Data Commons is migrating

The Ag Data Commons is migrating to a new institutional portal on Figshare. The current system is available for search and download only. The new platform is open for submission with assistance from Ag Data Commons curators. Please contact NAL-ADC-Curator@usda.gov, if you need to publish or update your datasets.

Manual annotations of Rhyzopertha dominica genome assembly RdoDt3_Drdd8_decomES

    This dataset contains manual annotations from Rhyzopertha dominica community curators, based on genome assembly RdoDt3_Drdd8_decomES.fasta.gz. These annotations are direct exports from Apollo 2.6 (https://doi.org/10.5281/zenodo.5015109), hosted by the i5k Workspace@NAL (https://i5k.nal.usda.gov/). Manual annotations are temporary and will be reviewed by the i5k Workspace@NAL and submitted to NCBI's GenBank database after review.

    Data from: Attraction, mobility, and preference by Lasioderma serricorne (F.) (Coleoptera: Ptinidae) to microbially-mediated volatile emissions by two species of fungi in stored grain

      Our goals were to 1) isolate, and culture two fungal morphotypes, 2) characterize the volatile emissions from grain inoculated by each fungal morphotype (Aspergillus flavus or Fusarium spp.) compared to uninoculated and sanitized grain, and 3) understand how MVOCs from each morphotype affects mobility, attraction, and preference by L. serricorne. See file list for descriptions of each data file.

      CottonGen Sequence Retrieval

        Sequence Retrieval allows users to download nucleotide and protein sequences including chromosomes, scaffolds, genes, mRNAs, transcript coding sequences, protein, reftrans contigs and unigene contigs. For the sequences aligned to larger sequences, such as genes, mRNAs and transcript coding sequences, a numeric value specifying the number of upstream bases and downstream bases can be entered.

        CottonGen Map Viewer

          MapViewer is a graphical tool for viewing and comparing *Gossypium* spp. genetic maps. It includes dynamically scrollable maps, correspondence matrices, dot plots, links to details about map features, and exporting functionality. It was developed by the MainLab at Washington State University and is available for download for use in other Tripal databases.

          CottonGen JBrowse

            CottonGen has an instance of the JBrowse genome browser for viewing genome data. A list of the Whole Genomes and Chloroplast Genomes is available together with a JBrowse tutorial for more details about how to navigate and use JBrowse.

            CottonGen BLAST

              CottonGen offers BLAST with genome, transcriptome, peptide and marker sequence databases from *Gossypium* species. This can be done using nucleotide sequences or peptide sequences. BLAST functionality is similar to that on NCBI.

              CottonGen CottonCyc Pathways Database

                The CottonGen CottonCyc Pathways Database supports searching and browsing the CottonCyc databases: * Cyc pathways for JGI v2.0 *G. raimondii* D5 genome assembly * Cyc pathways for CGP-BGI v1.0 *G. hirsutum* AD1 genome assembly

                CottonGen Breeding Information Management System (BIMS)

                  BIMS, the Breeding Information Management System, is a secure and comprehensive online breeding management system developed for the generic Tripal Database Platform which allows breeders to store, manage, archive and analyze their private breeding program. Breeders can load data in templates provided as well as output from the Field Book App, an android app for collecting phenotype data. In addition to the private breeders BIMS, users without accounts can also view the publicly available breeding data. The fully developed version will allow users to: * Fully integrate their data with publicly available genomic, genetic and breeding data in the community database. * Utilize their integrated pedigree, phenotype and genotype data in performing genomic analysis and making breeding decisions. * Use open-source new genomics tool and breeding decision tools with seamless access to HPC.