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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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MMGC: gene catalogues of the mouse and human microbiota

Authors: Beresford-Jones, Benjamin S.;

MMGC: gene catalogues of the mouse and human microbiota

Abstract

We produced protein cluster catalogues in order to establish the gene-level taxonomic overlap between the human and mouse microbiome. For gene-clustering, we concatenated 76,937,350 pre-clustered human predicted proteins for non-redundant, near-complete genomes of the UHGG with 45,598,646 mouse predicted protein-coding sequences from non-redundant, near-complete species of the MMGC, and performed protein clustering using the ‘linclust’ function from MMseqs285 v10-6d92c (-c 0.8 --cov-mode 1 --cluster-mode 2 --kmer-per-seq 80). Proteins were clustered at 100%, 90%, 80% and 50% sequence identity; clusters were considered shared if they contained genes from both human and mouse commensals. This archive includes two files for each sequence identity threshold: a representative protein sequence file (.fa) and a sequence membership file (.tsv).

Related Organizations
Keywords

Mouse, Microbiota, Commensals, Proteins, Gut, Microbiome

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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