官方服务：
资源简介：
Output for benchmarking type 2 diabetes associations for Supp Figs 2 and 4.
应用场景：
创建时间：
2021-12-01
相关数据集
Additional file 5: of Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction algorithms
Composition of the dataset analysed in this study. This file presents the details of the databases and studies from which data for the 6756âTB isolates is obtained. (XLSX 115 kb)
Figshare2019-02-09 更新70
10 Synthetic Genomics Datasets
These are 10 synthetic genomics datasets generated with NEAT v3 (based on TP53 gene of Homo Sapiens) for the use case of benchmarking somatic variant callers. To find more about our generating framewo
NIAID Data Ecosystem40
Designing a single cell ATAC-Seq (scATAC-Seq) dataset to benchmark scATAC-Seq analysis methods
Single cell sequencing technology has been widely used for understanding the heterogeneity of complex tissue and for identifying novel cell types or cell states. Previous efforts of single cell profil
NIAID Data Ecosystem20
MOESM5 of A curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods
Additional file 5: Table S4. AUPRs for supervised methods.
Figshare2020-01-23 更新40
Summary table of metrics results of the methods for species identification.
Benchmark metrics scores for each classifier without detection limit (A), with an analytical detection limit of 0.0001 (B), and with an analytical detection limit of 0.001 (C). For richness, the relat
Figshare2022-10-25 更新30
