Representative metagenomics assembled genomes (rMAGs) from longitudinally sampled anoxic tank floating sludge islets of the Schifflange (Luxembourg) communal wastewater treatment plant [* Cross-Reference *]

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Narayanasamy, Shaman; Martínez Arbas, Susana; Herold, Malte, 2021, "Representative metagenomics assembled genomes (rMAGs) from longitudinally sampled anoxic tank floating sludge islets of the Schifflange (Luxembourg) communal wastewater treatment plant [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.WJEAIF, LIST Open Repository, V1
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Description
This archive contains the representative metagenomics assembled genomes (rMAGs) derived from the longitudinally sampled anoxic tank floating sludge islets of the Schifflange (Luxembourg) communal wastewater treatment plant. These rMAGs were assembled using both metagenomic and metatranscriptomic data. These rMAGs were used in the publications referenced as part of this record. Please refer to these publications for more information about raw data and details about methods. - The initial upload (v0.1) was removed on 14/05/20201 because the compressed file was corrupted and did not contain all the content. {"references": ["Mart\u00ednez Arbas, S., Narayanasamy, S., Herold, M. et al. Roles of bacteriophages, plasmids and CRISPR immunity in microbial community dynamics revealed using time-series integrated meta-omics. Nat Microbiol 6, 123\u2013135 (2021). https://doi.org/10.1038/s41564-020-00794-8", "Herold, M., Mart\u00ednez Arbas, S., Narayanasamy, S. et al. Integration of time-series meta-omics data reveals how microbial ecosystems respond to disturbance. Nat Commun 11, 5281 (2020). https://doi.org/10.1038/s41467-020-19006-2"]} (2021-05-12)
***This entry has been automatically imported via Datacite by LIST harvest scripts. Please refer to https://doi.org/10.5281/zenodo.4755007 for the original and latest version of the dataset and data downloads*** (2025-09-03)
Subject Earth and Environmental Sciences
Keyword metagenomics, metatranscriptomics, de novo assembly, genomes, metagenome assembled genomes, MAGs, time-series, longitudinal
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