This fileset contains a written review of v2 of Heng Li's manuscript on bwa mem, as retrieved from arxiv.org. It also includes some basic benchmarking datasets and accuracy evaluation code applied to

NIAID Data Ecosystem100

Additional file 3 of Prider: multiplexed primer design using linearly scaling approximation of set coverage

引物设计

生物信息学基准

Additional file 3: Table of Prider benchmark test files’ metadata and system.time output for the increasing number of sequences dataset. The data includes the number of sequences, the number of bases,

NIAID Data Ecosystem70

Additional file 4: Table S4. of svclassify: a method to establish benchmark structural variant calls

基因组结构变异识别

生物信息学基准

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

Homo sapiens principal pseudohaplotype genome sequencing. Homo sapiens

基因组组装

单倍型定相

pseudohap#1 for NA19239

NIAID Data Ecosystem80

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