The Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) and German Plant Phenotyping Network (DPPN) has jointly initiated the Plant Genomics and Phenomics Research Data Repository (PGP) as infrastructure to comprehensively publish plant research data. This covers in particular cross-domain datasets that are not being published in central repositories because of its volume or unsupported data scope, like image collections from plant phenotyping and microscopy, unfinished genomes, genotyping data, visualizations of morphological plant models, data from mass spectrometry as well as software and documents.
The IPK stores a large volume of research results and information in various databases.
The Institute of Plant Genetics and Crop Plant Research IPK Gatersleben, is a nonprofit research institution for crop genetics and molecular biology, and is part of the Leibniz Association. The mission of the IPK Gatersleben is to conduct basic and applied research in the area of plant genetics and crop plant research. The results of this work are not only of significant benefit to plant breeders and the agricultural industry, but also to the food, feed, and chemical industry. An additional research area, the use of renewable raw materials, is increasingly gaining in importance.
doRiNA is a database of transcriptome-wide binding site data for RNA binding proteins and microRNAs
MiCoDa is a searchable database that hosts over 30,000 samples of processed 16S rRNA gene amplicon sequences from aquatic, host-associated, and mineral environments, spanning the entire globe. To improve cross-study comparability, all samples in MiCoDa have been sequenced in the same region of the 16S rRNA gene (between base pairs 515 and 806). MiCoDa also hosts the Earth Microbiome Project samples, processed in the same manner. MiCoDa is currently the largest public, human-curated microbiome database available. Its goal is to encourage the reuse of extant sequence data by specialists and non-specialists alike. To this end, we have manually curated the data and metadata included, preprocessed the sequence data to maximize comparability, and created a searchable data portal. MiCoDa is led by Dr. Stephanie Jurburg (microbial ecology), and hosted and supported by the Integrative Biodiversity Data and Code Unit of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, the Microbial Interaction Ecology group of the Helmholtz Centre for Environmental Research- Leipzig and the FUSION group of Friedrich Schiller Universität- Jena. For more information about MiCoDA and the Data Collection, visit https://micoda.idiv.de/v1/dataCollection [This dataset was processed using the GBIF Metabarcoding Data Toolkit.]