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(XLSX)
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创建时间:
2023-01-19
相关数据集
MetaFunc Databases: Kaiju database
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
NIAID Data Ecosystem100
Relative taxonomic composition (in percentages) of microbiota samples at different taxonomic ranks, according to their intestinal segment of origin.
Relative taxonomic composition (in percentages) of microbiota samples at different taxonomic ranks, according to their intestinal segment of origin.
NIAID Data Ecosystem60
Additional file 1 of Preventing illegal seafood trade using machine-learning assisted microbiome analysis
Additional file 1: Table S1. Precision, recall, f1-score and support obtained in gills (GI) and digestive gland (DG) obtained in comparing Porto Marghera versus Chioggia (PM vs CL), Porto MArghera ve
Figshare2024-09-11 更新50
Additional file 8: Table S6. of Comprehensive benchmarking and ensemble approaches for metagenomic classifiers
The read counts and relative abundances for Bacillus anthracis identified by various tools after the whole genome sequencing of two samples from the New York City subway system. (XLSX 13 kb)
DataCite Commons2024-12-18 更新90
Predictive performance of models trained to predict the presence of Methanobacteriaceae from metagenomes.
Samples: Models trained on CV sets from all samples (n = 2203 samples in total, train = 1542 and test = 661 samples), or only the set of samples with complete metadata information for age, gender, and
NIAID Data Ecosystem50



