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ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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MetaFunc Databases: nr-go database

Authors: Sulit, Arielle Kae; Kolisnik, Tyler; Frizelle, Frank A; Purcell, Rachel; Schmeier, Sebastian;

MetaFunc Databases: nr-go database

Abstract

{"references": ["Menzel, P., Ng, K.L., Krogh, A., 2016. Fast and sensitive taxonomic classification for metagenomics with Kaiju. Nature Communications 7, 11257. https://doi.org/10.1038/ncomms11257", "Shen, W., Ren, H., TaxonKit: a practical and efficient NCBI Taxonomy toolkit, Journal of Genetics and Genomics, https://doi.org/10.1016/j.jgg.2021.03.006", "https://dx.doi.org/10.5281/zenodo.2529950; release date: 2020-01-01", "Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., Harris, M. A., Hill, D. P., Issel-Tarver, L., Kasarskis, A., Lewis, S., Matese, J. C., Richardson, J. E., Ringwald, M., Rubin, G. M., & Sherlock, G. (2000). Gene Ontology: Tool for the unification of biology. Nature Genetics, 25(1), 25\u201329. https://doi.org/10.1038/75556", "Huang, H., McGarvey, P.B., Suzek, B.E., Mazumder, R., Zhang, J., Chen, Y., Wu, C.H., 2011. A comprehensive protein-centric ID mapping service for molecular data integration. Bioinformatics 27, 1190\u20131191. https://doi.org/10.1093/bioinformatics/btr101", "The UniProt Consortium, 2017. UniProt: the universal protein knowledgebase. Nucleic Acids Research 45, D158\u2013D169. https://doi.org/10.1093/nar/gkw1099", "Camon, E., Magrane, M., Barrell, D., Lee, V., Dimmer, E., Maslen, J., Binns, D., Harte, N., Lopez, R., Apweiler, R., 2004. The Gene Ontology Annotation (GOA) Database: sharing knowledge in Uniprot with Gene Ontology. Nucleic Acids Res 32, D262\u2013D266. https://doi.org/10.1093/nar/gkh021"]}

MetaFunc is a computational pipeline that can take input reads and pass it through a pipeline that will then analyse host genes from the reads on one side, and microbiome taxonomies and gene ontology annotations on the other, and finally allowing for microbe-host gene correlations. This dataset contains databases used for analysing the microbiome component of the pipeline. Full description of the pipeline can be found at https://metafunc.readthedocs.io/en/latest/#.

Funding: Maurice and Phyllis Paykel Trust Gut Cancer Foundation (NZ), with support from the Hugh Green Foundation Colorectal Surgical Society of Australia and New Zealand (CSSANZ) The Health Research Council of New Zealand

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Keywords

metagenomics, function, metatranscriptomics, gene ontology

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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