
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.
sequence analysis, Evolution, Bioinformatics, Population, Bioinformatics and Computational Biology, Mathematical sciences, algorithms, Mathematical Sciences, Evolution, Molecular, Information and Computing Sciences, Genetics, genomics, Computer Graphics, Humans, Genome, molecular evolution, Genome, Human, Human Genome, Molecular, computational molecular biology, DNA, Sequence Analysis, DNA, Biological Sciences, Reference Standards, 004, Biological sciences, Genetics, Population, Networking and Information Technology R&D (NITRD), Information and computing sciences, Sequence Analysis, Sequence Alignment, Algorithms, Software, Human
sequence analysis, Evolution, Bioinformatics, Population, Bioinformatics and Computational Biology, Mathematical sciences, algorithms, Mathematical Sciences, Evolution, Molecular, Information and Computing Sciences, Genetics, genomics, Computer Graphics, Humans, Genome, molecular evolution, Genome, Human, Human Genome, Molecular, computational molecular biology, DNA, Sequence Analysis, DNA, Biological Sciences, Reference Standards, 004, Biological sciences, Genetics, Population, Networking and Information Technology R&D (NITRD), Information and computing sciences, Sequence Analysis, Sequence Alignment, Algorithms, Software, Human
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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