Coordinates of microbial contamination in eukaryotic reference genomes
https://doi.org/10.17044/SCILIFELAB.28380476
This dataset contains coordinates of microbial contamination in eukaryotic chromosome-level reference genomes of 96 plant, 114 invertebrate and 162 non-mammalian vertebrate species, 566 chromosome- and scaffold-level mammalian reference assemblies from the National Center for Biotechnology Information Reference Sequence Database (NCBI RefSeq), https://ftp.ncbi.nlm.nih.gov/refseq/release, and a custom arthropod dataset comprising 2088 reference genomes, and 1323 nordic plant contig-level assemblies from the PhyloNorway project, DataverseNO V1, https://dataverse.no/dataset.xhtml;jsessionid=dfe334bbadc5fb9c5eab4332d568?persistentId=doi:10.18710/3CVQAG&version=DRAFT.
Each group of organisms has two coordinate (bed-) files: simple and comprehensive, the "full"-version corresponds to the comprehensive bed-file with microbial annotation for each region of microbial contamination.
The dataset was produced by Nikolay Oskolkov, Lund University, Sweden, within the NBIS SciLifeLab long-term support project, PI Tom van der Valk, Centre for Palaeogenetics, Stockholm, Sweden.
If you use the dataset for your research, please cite our manuscript:
Nikolay Oskolkov, Chenyu Jin, Samantha López Clinton, Flore Wijnands, Ernst Johnson, Benjamin Guinet, Verena Kutschera, Cormac Kinsella, Peter D. Heintzman and Tom van der Valk, Disinfecting eukaryotic reference genomes to improve taxonomic inference from environmental ancient metagenomic data, https://www.biorxiv.org/content/10.1101/2025.03.19.644176v1, https://doi.org/10.1101/2025.03.19.644176
Questions regarding the dataset should be sent to nikolay.oskolkov@scilifelab.se
Go to data source
https://doi.org/10.17044/SCILIFELAB.28380476
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Citation and access
Creator/Principal investigator(s):
- Tom van der Valk
- Samantha Lopez Clinton - Science for Life Laboratory
- Chenyu Jin
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Funding
Funding agency:
- Swedish Research Council
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Award number:
2015-06026_VR
Award title:
National Bioinformatics Infrastructure Sweden (NBIS)
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