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We present pandora, a novel pan-genome graph structure and algorithms for identifying variants across the full bacterial pan-genome. As much bacterial adaptability hinges on the accessory genome, methods which analyze SNPs in just the core genome have unsatisfactory limitations. Pandora approximates a sequenced genome as a recombinant of references, detects novel variation and pan-genotypes multiple samples. Using a reference graph of 578 Escherichia coli genomes, we compare 20 diverse isolates. Pandora recovers more rare SNPs than single-reference-based tools, is significantly better than picking the closest RefSeq reference, and provides a stable framework for analyzing diverse samples without reference bias.

Original publication

DOI

10.1186/s13059-021-02473-1

Type

Journal

Genome biology

Publication Date

09/2021

Volume

22

Addresses

European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.

Keywords

Escherichia coli, Nucleotides, Sequence Alignment, Sequence Analysis, DNA, Genomics, Genome, Bacterial, Algorithms, Software, Genetic Variation, High-Throughput Nucleotide Sequencing, Nanopore Sequencing