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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
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Extensive sequencing of seven human genomes to characterize benchmark reference materials
Justin M Zook1, David Catoe1, Jennifer McDaniel1
1National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA.
Scientific Data
|June 9, 2016
Summary
The Genome in a Bottle Consortium provides diverse human genome sequencing data from 12 technologies. This publicly available data aims to improve genome analysis, variant calling, and sequencing methods.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- The Genome in a Bottle Consortium, hosted by the National Institute of Standards and Technology (NIST), is developing reference materials and data for human genome sequencing.
- Accurate genome comparison and benchmarking are crucial for advancing genomic research and clinical applications.
Purpose of the Study:
- To describe a comprehensive dataset of human genome sequencing from a diverse set of individuals.
- To provide a benchmark dataset for evaluating and improving various genome sequencing technologies and analysis methods.
Main Methods:
- Sequencing data was generated for seven human genomes using 12 different technologies, including long-read and short-read platforms.
- The dataset includes data from five NIST Reference Materials, the pilot genome NA12878 (NIST RM 8398), and two Personal Genome Project trios (Ashkenazim Jewish and Chinese ancestry).
- Technologies employed include BioNano Genomics, Complete Genomics, Ion Proton, Oxford Nanopore, Pacific Biosciences, SOLiD, 10X Genomics, and Illumina.
Main Results:
- A large and diverse set of human genome sequencing data is now available.
- The data encompasses multiple sequencing technologies, providing a rich resource for comparative analysis.
- Public availability of cell lines, DNA, and data facilitates widespread research use.
Conclusions:
- The generated dataset is expected to yield novel insights into the human genome.
- This resource will aid in the improvement of sequencing technologies and analytical pipelines.
- The data will enhance the accuracy of single nucleotide polymorphism (SNP), indel, and structural variant calling, as well as de novo assembly.
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