| Literature DB >> 27271295 |
Justin M Zook1, David Catoe1, Jennifer McDaniel1, Lindsay Vang1, Noah Spies1,2, Arend Sidow2, Ziming Weng2, Yuling Liu2, Christopher E Mason3, Noah Alexander3, Elizabeth Henaff3, Alexa B R McIntyre3, Dhruva Chandramohan3, Feng Chen4, Erich Jaeger4, Ali Moshrefi4, Khoa Pham5, William Stedman5, Tiffany Liang5, Michael Saghbini5, Zeljko Dzakula5, Alex Hastie5, Han Cao5, Gintaras Deikus6, Eric Schadt6, Robert Sebra6, Ali Bashir6, Rebecca M Truty7, Christopher C Chang7, Natali Gulbahce7, Keyan Zhao8, Srinka Ghosh8, Fiona Hyland8, Yutao Fu8, Mark Chaisson9, Chunlin Xiao10, Jonathan Trow10, Stephen T Sherry10, Alexander W Zaranek11, Madeleine Ball11, Jason Bobe6,11, Preston Estep11,12, George M Church11,12, Patrick Marks13, Sofia Kyriazopoulou-Panagiotopoulou13, Grace X Y Zheng13, Michael Schnall-Levin13, Heather S Ordonez13, Patrice A Mudivarti13, Kristina Giorda13, Ying Sheng14, Karoline Bjarnesdatter Rypdal14, Marc Salit1,2.
Abstract
The Genome in a Bottle Consortium, hosted by the National Institute of Standards and Technology (NIST) is creating reference materials and data for human genome sequencing, as well as methods for genome comparison and benchmarking. Here, we describe a large, diverse set of sequencing data for seven human genomes; five are current or candidate NIST Reference Materials. The pilot genome, NA12878, has been released as NIST RM 8398. We also describe data from two Personal Genome Project trios, one of Ashkenazim Jewish ancestry and one of Chinese ancestry. The data come from 12 technologies: BioNano Genomics, Complete Genomics paired-end and LFR, Ion Proton exome, Oxford Nanopore, Pacific Biosciences, SOLiD, 10X Genomics GemCode WGS, and Illumina exome and WGS paired-end, mate-pair, and synthetic long reads. Cell lines, DNA, and data from these individuals are publicly available. Therefore, we expect these data to be useful for revealing novel information about the human genome and improving sequencing technologies, SNP, indel, and structural variant calling, and de novo assembly.Entities:
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Year: 2016 PMID: 27271295 PMCID: PMC4896128 DOI: 10.1038/sdata.2016.25
Source DB: PubMed Journal: Sci Data ISSN: 2052-4463 Impact factor: 6.444