Chinese Quartet Genome The Quartet Project is designed for quality control in biological analysis in China. The samples in this project have been approved as standard reference materials by the State Administration for Market Regulation in China. In this repository, we provided high-quality genome and variant benchmarks for this quartet. Samples There are four samples in Chinse Quartet, including father (LCL7), mother (LCL8), and two monozygotic twin daughters (LCL5 and LCL6). This quartet family is from Taizhou in China. For more information of the quartet, please click here. Data information The Quartet multi-omics reference materials and data are publicly available and accessible. The recipients of the Reference Materials are highly encouraged to share their data with the community in order for to improve the evaluation of the technologies, pipelines, batch effects, and so on. For genomic data, we generated 50x PacBio HiFi, 100x coverage of Oxford Nanopore, 30x coverage of ultra long Oxford Nanopore (only for LCL5), 100x PacBio CLR, 100x 10x genomics linked reads and BioNano. All raw data is available from public, if you want to use genomic data in this study, please download it from The Quartet Data Portal. Assembly The assemblies (paternal and maternal) of the twins are available at Genome Warehouse. Details of the assemblies are available at github Data from two monozygotic twin daughters were merged for assembly. Long reads were phased into two haplotypes with heterozygous mutations. HiFi reads were assembled with hifiasm, hicanu, and flye. ONT reads were assembled with flye and shasta. Pipeline for assembly is available at https://github.com/PengJia6/AssmPipe. Pipeline for assembly evaluation is available at https://github.com/PengJia6/Postassm Variant Benchmarks Variants are discovery with Illumina reads, HiFi reads, and haplotyped-resolved assemblies. Varaints are filtered with read depth, allele depth, Mendelian rules. Methods for variant establishing is available at https://github.com/PengJia6/NGSGemlineMutPipe and https://github.com/PengJia6/TGSGermlineMutPipe Usage of variant benchmarks If you want to use the variant benchmarks, please click here to check the pipeline we provided. Citation Jia P, Dong L, Yang X, Wang B, Wang T, Lin J, Wang S, Zhao X, Xu T, Che Y, et al: Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet. bioRxiv 2022:2022.2009.2008.504083. PDF Download the latest release 1 Assemblies Paternal Maternal 2 Variant benchmarks Germline varaints Complex SVs de novo and putative somatic mutations Contributions Software developers are encouraged to benchmark their software using our samples and data. We also encourage the community to submit their assemblies and variant to improve the assemblies and variant benchmarks. Please contact with Peng Jia (pengjia@stu.xjtu.edu.cn) Contact Kai Ye (kaiye@xjtu.edu.cn) Peng Jia (pengjia@stu.xjtu.edu.cn)