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2021-10-20
相关数据集
Datasets (raw and true reads) supporting the study "Benchmarking of computational error-correction methods for next-generation sequencing data"
We used both simulated and experimental datasets derived from human genomic DNA, human T cell receptor repertoires, and intra-host viral populations. Next, we summarize datasets shared here, i.e., D1,
Figshare2020-03-05 更新60
Additional file 4: Table S4. of svclassify: a method to establish benchmark structural variant calls
Annotations for each of the SV calls as well as likely non-SV regions from the PacBio aligned sequence dataset for NA12878 using svclassify. (CSV 1.88 kb)
NIAID Data Ecosystem50
Additional file 3: of Using a transcriptome sequencing approach to explore candidate resistance genes against stemphylium blight in the wild lentil species Lens ervoides
Table S2. Top enriched GO terms of common stemphylium blight-responsive genes. (XLSX 9 kb)
Figshare2024-02-20 更新20
Germplasm used for introgression and association mapping of Pm-0 .
Germplasm used for introgression and association mapping of Pm-0.
NIAID Data Ecosystem60
Benchmarking of Computational Demultiplexing Methods for Single-Nucleus RNA Sequencing Data [dataset 2]
Single-nucleus RNA sequencing enables high-resolution profiling of complex tissues, but its high cost limits large-scale studies. Sample pooling with genetic demultiplexing is a scalable solution, yet
NIAID Data Ecosystem20
