Building a Pan-Genome Reference for a Population

Ngan Nguyen(University of California, Santa Cruz), Glenn Hickey(University of California, Santa Cruz), Daniel R. Zerbino(European Bioinformatics Institute), Brian J. Raney(University of California, Santa Cruz), Dent Earl(University of California, Santa Cruz), Joel Armstrong(University of California, Santa Cruz), W. James Kent(University of California, Santa Cruz), David Haussler(Howard Hughes Medical Institute), Benedict Paten(University of California, Santa Cruz)
Journal of Computational Biology
January 7, 2015
Cited by 54Open Access
Full Text

Abstract

A reference genome is a high quality individual genome that is used as a coordinate system for the genomes of a population, or genomes of closely related subspecies. Given a set of genomes partitioned by homology into alignment blocks we formalize the problem of ordering and orienting the blocks such that the resulting ordering maximally agrees with the underlying genomes' ordering and orientation, creating a pan-genome reference ordering. We show this problem is NP-hard, but also demonstrate, empirically and within simulations, the performance of heuristic algorithms based upon a cactus graph decomposition to find locally maximal solutions. We describe an extension of our Cactus software to create a pan-genome reference for whole genome alignments, and demonstrate how it can be used to create novel genome browser visualizations using human variation data as a test. In addition, we test the use of a pan-genome for describing variations and as a reference for read mapping.


Related Papers

No related papers found

Powered by citation graph analysis