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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Claim

Methylated Amine Gene Inventory of Catabolism database (MAGICdb)

Research datakeyboard_double_arrow_right Dataset 25 Apr 2021Publisher:ZenodoFunded by:NIH | Alternative routes of gut...
Authors: Mikayla Borton; Shaffer, Michael; Wrighton, Kelly;

doi: 10.5281/zenodo.4718082 , 10.5281/zenodo.4975255 , 10.5281/zenodo.8034518 , 10.5281/zenodo.4978851 , 10.5281/zenodo.4718083 , 10.5281/zenodo.7409848

Methylated Amine Gene Inventory of Catabolism database (MAGICdb)

Abstract

MAGICdb is the Methylated Amine Gene Inventory of Catabolism database, an analysis of 6,341 gut-derived microbial genomes: DataFileS2_FinalGeneCalling.xlsx- inventory of genes and genomes in MAGICdb 6341_genomes.tar.gz- methylated amine catabolism encoding genomes in MAGICdb (fasta format) DataFileS3_ALL_NUCL_MethylamineGenes.fna- methylated amine genes in MAGICdb (fasta format) predict_cvd_from_MAGICdb_mapping.html- input data, code, and models for predicting cardiovascular disease from human metagenomic datasets using MAGICdb metaP and metaT text files- contain output tables from mapping Abu-Ali, et al. metatranscriptome and Lloyd-Price, et al. metaproteome data to MAGICdb. Node_table_042722_ANNOTATED.csv- EFI network node file with sequences for MAGIC database (Fig. 6).

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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).
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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.
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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