数据链接：
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资源简介：
Blood group typing by SNaPshot analysis.
应用场景：
创建时间：
2020-11-12
相关数据集
SNP chip data of MDS
Myelodysplastic syndromes (MDS) are clonal disorders of hematopoietic progenitors characterized by ineffective hematopoiesis and high propensity to leukemias. Although a number of gene targets have be
NIAID Data Ecosystem50
Table_3_RNA-Seq Data for Reliable SNP Detection and Genotype Calling: Interest for Coding Variant Characterization and Cis-Regulation Analysis by Allele-Specific Expression in Livestock Species.XLSX
In addition to their common usages to study gene expression, RNA-seq data accumulated over the last 10 years are a yet-unexploited resource of SNPs in numerous individuals from different populations.
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group-3-LF alignment and SNPs
Alignment of reads for the BSA bulk 'late flowering' (LF) against the B. oleracea reference genome (as BAM file), and subsequent SNP calling results (as compressed VCF file).
NIAID Data Ecosystem30
Additional file 3 of A high-performance computational workflow to accelerate GATK SNP detection across a 25-genome dataset
Additional file 3: Table S1. Summary of workflow phases. Table S2. Performance of the genome variant calling workflow (w/GATK4) for rice, sorghum, maize and soybean. Table S3. Results of variant detec
Figshare2024-08-14 更新50
Numbers of SNPs called after five (3 runs of the library 1 and 2 runs of the library 2), six (4 runs of the library 1 and 2 runs of the library 2), seven (5 runs of the library 1 and 2 runs of the library 2) and eight (6 runs of the library 1 and 2 runs of the library 2) sequencing runs of the two GBS libraries with and without imputation using barley genome and Chinese Spring survey sequence (CSSS) and W7984 assembly and Wheat IWGSC RefSeq v1.0 reference.
Numbers of SNPs called after five (3 runs of the library 1 and 2 runs of the library 2), six (4 runs of the library 1 and 2 runs of the library 2), seven (5 runs of the library 1 and 2 runs of the lib
NIAID Data Ecosystem40
