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Haplotype_resolved_assemblies_benchmark
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创建时间：
2023-09-30
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,
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ccRCC reference datasets to benchmark UnitedMet
Reference data (4 ccRCC datasets with paired metabolomics and RNA-seq data) to benchmark UnitedMet
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MIRA benchmarking Frankencell datasets
MIRA benchmarking Frankencell datasets, scaffolds, and configuration file for regeneration.
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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)
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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
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