Abstract
AbstractThis document is a collective assembly of techniques designed to test the quality and accuracy of 100 whole human genome sequences resulting from the $10 Million Archon Genomics X PRIZE (AGXP) competition. The purpose of this article is to enlist constructive criticism from the genomic and genetic community on the outlined approaches. The intent for the final version of this Validation Protocol is to become a useful standard by which to gauge the capabilities of whole genome sequencing technologies that emerge even after 2012.
Highlights
In making suggestions please keep in mind the overriding constraints implicit in such an endeavor: first, the final VP must be able to declare a winner or winners in the Archon Genomics X PRIZE (AGXP) without controversy; second, any suggested changes should likely reduce the actual cost of carrying out the physical and bioinformatic procedures of the AGXP competition
Will enable the ascertainment of sequencing accuracy of contestant’s genomes in these regions. These loci will be enriched from each DNA sample and sequenced to generate ~100x average coverage per sample9
Completeness The AGXP recognizes that there is no absolute standard against which to judge the completeness of a competitor submission
Summary
This document is the collaborative work of many individuals led by Granger Sutton, Edison Liu, Victor Jongeneel, and Larry Kedes. C. Uniqueness of the Archon Genomics X PRIZE (AGXP) for Sequencing: The Sequencing requirements of the AGXP are unusual in respect to the complexity of the judging criteria. Many X PRIZE competitions have a singular and definable threshold to be “crossed”: e.g. flying to the moon and returning, or staying aloft for X period of time. the sequencing for the AGXP has an “asymptotic” goal of achieving a defi‐ nition of perfection. Though the primary goal of the AGXP is to reward the most advanced sequencing technologies, we are aware that the judging process and criteria, and the mate‐ rials used for judging (i.e., the DNA samples and cell lines, mapping and comparison algorithms) will be important standards for clinical sequencing. our goal will be to develop protocols that can be used as industry benchmarks
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