Build_samples

Figshare2020-05-02 更新2026-04-08 收录

建筑微生物组

宏基因组分类器评估

数据链接：

https://figshare.com/articles/Build_samples/12234722/1 数据链接链接失效反馈

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资源简介：

Simulated building environment shotgun sequecning data in "Pitfalls and Opportunities in Benchmarking Metagenomic Classifiers".<br>

创建时间：

2020-05-02

Additional file 1: of Comparative genomics of Bacteria commonly identified in the built environment

建筑微生物组

比较基因组学

Table S1. Selection of bacterial genera commonly identified in the built environment. Bacterial genera identified in 54 publications were compiled (see Table S2) and commonly identified genera were se

NIAID Data Ecosystem60

Characterization of Communal Sink Drain Communities of a University Campus

建筑微生物组

16SrRNA测序

Microorganisms are widely distributed throughout the built environment and even those found in concealed environments such as sink p-traps can have an impact on our health. To date, most studies on si

NIAID Data Ecosystem40

Kraken (v1) Accuracy dataset

宏基因组分类器评估

生物信息学工具性能测试

Wood et al simulated dataset used to evaluate the accuracy of Kraken v1 (and other classifiers) in the original Kraken publication; contains three FASTA files and instructions for obtaining the source

Figshare2018-09-14 更新30

Additional file 4: Table S3. of Comprehensive benchmarking and ensemble approaches for metagenomic classifiers

宏基因组分类器评估

生物信息学基准

Precision and recall at the species level for tool, listed by dataset. (XLSX 52 kb)

Figshare2017-09-22 更新60

Geography and location are the primary drivers of office microbiome composition

建筑微生物组

办公室微生物组分析

In the United States, humans spend the majority of their time indoors where they are exposed to the microbiome of the built environment (BE) they inhabit. Despite the ubiquity of microbes in BEs, and

NIAID Data Ecosystem40

Build_samples

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