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Meta2DB: Curated Shotgun Metagenomic Feature Sets and Metadata for Health State Prediction

Be, Nicholas

Abstract

Meta2DB is a curated metagenomic and metadata database that provides structurally consistent microbiome taxonomy feature count tables for 13,897 samples across 84 studies, 23 disease states, and 34 geographical locations.

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Data Definitions 1. not available: a. Data is entered as “not available” for a field when it can be assumed that this data exists and is relevant to a sample, but we do not have this information. b. Select examples: i. Sample collection related fields: geo_loc_name, collection_date, env_biome, env_feature ii. Host related fields: special_diet, host_disease_stat, host_tot_mass, host_height, host_diet, host_body_mass_index, host_smoker, ihmc_ethnicity 2. not applicable: a. Data is entered as “not applicable” for a field when the field is not relevant for the sample b. Select examples i. When seq_type=”whole genome sequencing”, the fields target_gene and target_subfragment are entered as “not applicable” ii. When host_body_product=”feces”, the host_body_site field is “not applicable” iii. When health_disease_stat=”control”, many disease related fields will be “not applicable”. Some examples: cirrhosis_hbv, inr, pt 3. none: a. Data is entered as “none” for a field where we have information that something was not observed or was not given to the host. This is most often used for treatment and testing related fields b. Select examples i. he field: “none” entered for hosts who were tested for hepatic encephalopathy, but had no observed hepatic encephalopathy ii. antiviral_medication: “none” entered for hosts that we know were not given antivirals iii. beta_blocker: “none” entered for hosts that we know were not given beta blockers