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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.

            CottonGen: Cotton Database Resources

              CottonGen (https://www.cottongen.org) is a curated and integrated web-based relational database providing access to publicly available genomic, genetic and breeding data to enable basic, translational and applied research in cotton. Built using the open-source Tripal database infrastructure, CottonGen supersedes CottonDB and the Cotton Marker Database, which includes sequences, genetic and physical maps, genotypic and phenotypic markers and polymorphisms, quantitative trait loci (QTLs), pathogens, germplasm collections and trait evaluations, pedigrees, and relevant bibliographic citations, with enhanced tools for easier data sharing, mining, visualization, and data retrieval of cotton research data.

              AgBase

                [AgBase](https://agbase.arizona.edu/index.html) Version 2.0 is a curated, open-source, Web-accessible resource for functional analysis of agricultural plant and animal gene products including gene ontology annotations. Its long-term goal is to serve the needs of the agricultural research communities by facilitating post-genome biology for agriculture researchers and for those researchers primarily using agricultural species as biomedical models. AgBase uses controlled vocabularies developed by the Gene Ontology (GO) Consortium to describe molecular function, biological process, and cellular component for genes and gene products in agricultural species.

                Data from: Data for the calculation of an indicator of the comprehensiveness of conservation of useful wild plants

                  The datasets and code presented in this Data in Brief article are related to the research article entitled "Comprehensiveness of conservation of useful wild plants: an operational indicator for biodiversity and sustainable development targets". These data facilitate indicator assessments and serve as a baseline against which future calculations of the indicator can be measured. The data can also contribute to other species distribution modeling, ecological research, and conservation analysis purposes.

                  Data from: Characterization of Adult Transcriptomes from the Omnivorous Lady Beetle Coleomegilla maculata Fed Pollen or Insect Egg Diet

                    Expressed genes from two individual sibling specimens of *Coleomegilla maculata* (Coleoptera: Coccinellidae). One individual was fed only insect eggs as an adult, and one was fed only pollen as an adult. Two sequenced samples, total RNA from a single individual adult specimen of *Coleomegilla maculata*, a beneficial lady beetle common in agroecosystems and native to North America. One sample was an adult fed only insect eggs (carnivore diet) and one sample was an adult fed only pollen (plant-based diet); insects were reared from the same egg mass (siblings), fed identical diet while in larval stage.

                    Musa Germplasm Information System

                      The Musa Germplasm Information System (MGIS) contains key information on Musa germplasm diversity, including passport data, botanical classification, morpho-taxonomic descriptors, molecular studies, plant photographs and GIS information on 6829 accessions managed in 30 collections around the world, making it the most extensive source of information on banana genetic resources.