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Found 5 result(s)
Online Mendelian Inheritance in Animals (OMIA) is a catalogue/compendium of inherited disorders, other (single-locus) traits, and genes in 218 animal species (other than human and mouse and rats, which have their own resources) authored by Professor Frank Nicholas of the University of Sydney, Australia, with help from many people over the years. OMIA information is stored in a database that contains textual information and references, as well as links to relevant PubMed and Gene records at the NCBI, and to OMIM and Ensembl.
Country
It captures and catalogues ancient human genome and microbiome data, including raw sequence and processed data, along with metadata about its provenance and production. Included datasets are generated from ancient samples studied at the Australian Centre for Ancient DNA, University of Adelaide in collaboration with other research groups. Datasets and collections in OAGR are open data resources made freely available in a reusable form, using open file formats and licensed with minimal restrictions for reuse. Digital object identifiers (DOIs) are minted for included datasets and collections to facilitate persistent identification and citation.
Greengenes is an Earth Sciences website that assists clinical and environmental microbiologists from around the globe in classifying microorganisms from their local environments. A 16S rRNA gene database addresses limitations of public repositories by providing chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies.
Country
The Atlas of Living Australia (ALA) combines and provides scientifically collected data from a wide range of sources such as museums, herbaria, community groups, government departments, individuals and universities. Data records consist of images, literature, molecular DNA data, identification keys, species interaction data, species profile data, nomenclature, source data, conservation indicators, and spatial data.
Country
The compendium of crop Proteins with Annotate Locations (cropPAL) is a comprehensive collection of subcellular location annotation for proteins of hordeum vulgare (barley), tritium aestivum (wheat), oryza sativa (rice) and zea mays (corn) derived from published experimental localization studies and precompiled bioinformatic predictions.