Chromosome-level genome assembly of Triticum turgidum var 'Kronos'
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This data is made available under the Toronto Agreement. All of the data listed here is available under the prepublication data sharing principle of the Toronto agreement (1). By using this data, you agree to: respect the rights of the data producers and contributors to analyze and publish the first global analyses and certain other reserved analyses of this data set in a peer-reviewed publication. not redistribute, release, or otherwise provide access to the data to anyone outside of the group, until the data has been published & submitted to the public data repositories. contact the authors to discuss any plans to publish data or analyses that utilize this data to avoid the overlap of any planned analyses. fully cite the prepublication data along with any applicable versioning details. understand that this data as accessed is precompetitive and is not patentable in its present state. This agreement does not expire by time but only upon publication of the first global analysis by the data producers and contributors.(1) Toronto International Data Release Workshop Authors. Prepublication data sharing. Nature 461, 168–170 (2009). https://doi.org/10.1038/461168a If you have questions about the use of this dataset, please contact Ksenia Krasileva: kseniak [at] berkeley.edu Updates in Zenodo v5 This update includes the last version of annotation (v2.1)! In this version, we manually curated 2,328 intraceullar immune receptor (NLR) loci and included 1,089 reliable NLR annotations. All existing NLR annotations eventually classified as low-confidence in manual curation were removed. Other non-NLR annotations remain identical. If you need all curated NLRs, please check out another respository that contains additional datasets (Chromosome-level genome assembly of Triticum turgidum var 'Kronos' additional datasets) We provide functional annotations for all predicted genes. Kronos.v2.1.pep.eggnog.tsv comes from eggNOG-mapper and Kronos.v2.1.pep.fa.InterPro.tsv comes from InterProScan. Acknowledgement This work has been funded by the United States Department of Agriculture - National Institute for Food and Agriculture Award (2021-67013-35726). Please, feel free to reach out to us regarding this datasets.



