The compilation of eukaryotic arginyl-tRNA synthetase sequences was last updated in 2022. In the following years, the accumulated sequence data of this house-keeping gene product has permitted the man

NIAID Data Ecosystem40

Data_Sheet_1_High-Quality Genome-Scale Models From Error-Prone, Long-Read Assemblies.ZIP

微生物组代谢建模

测序数据校正

Advances in nanopore-based sequencing techniques have enabled rapid characterization of genomes and transcriptomes. An emerging application of this sequencing technology is point-of-care characterizat

NIAID Data Ecosystem20

Datasets (raw and true reads) supporting the study "Benchmarking of computational error-correction methods for next-generation sequencing data"

测序数据校正

生物信息学基准

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

Comparison of systematic sequencing errors using spike-in standards. Homo sapiens

测序数据校正

测序数据质量控制

While the importance of random sequencing errors decreases at higher DNA or RNA sequencing depths, systematic sequencing errors (SSEs) dominate at high sequencing depths and can be difficult to distin

NIAID Data Ecosystem30