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资源简介：
In silico truth datasets for metagenomic algorithm evaluations
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创建时间：
2017-11-21
相关数据集
Metagenomic Next-generation Sequencing as a Pathogenic Diagnostic Testing in Central Nervous System Infection
he CSF collected from 431 subjects was sequenced via mNGS from February 2017 to October 2021. Patients were divided into five groups based on etiological characteristics to compare their features and
NIAID Data Ecosystem210
Additional file 5: of Quantifying differences in cell line population dynamics using CellPD
Synthetic data. This folder contains the synthetic data used for Fig. 3 and Additional file 4. Additionally, it contains the python scripts that were used to make the synthetic data, Fig. 3, and Add
Figshare2016-12-14 更新100
Summary of performance for various fine-mapping methods.
Methods were benchmarked using the average number of SNPs per locus selected to find (50%,90%) of all causal variants. We simulated a trait with 100 risk loci explaining fine-mapped through sequencin
NIAID Data Ecosystem80
Systematic Cross-biospecimen evaluation of DNA extraction kits for long- and short-read multi-metagenomic sequencing studies
Metagenomic data after human read removal generated on 7 different specimen types with 3 different dna extraction kits.
NIAID Data Ecosystem100
The Experiment Data Depot: A Web-Based Software Tool for Biological Experimental Data Storage, Sharing, and Visualization
Although recent advances in synthetic biology allow us to produce biological designs more efficiently than ever, our ability to predict the end result of these designs is still nascent. Predictive mod
NIAID Data Ecosystem90
