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A critical comparison of technologies for a plant genome sequencing project

Pirita Paajanen, View ORCID ProfileGeorge Kettleborough, Elena Lopez-Girona, Michael Giolai, Darren Heavens, David Baker, View ORCID ProfileAshleigh Lister, Gail Wilde, Ingo Hein, View ORCID ProfileIain Macaulay, Glenn J. Bryan, View ORCID ProfileMatthew D. Clark
doi: https://doi.org/10.1101/201830
Pirita Paajanen
Earlham Institute;
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George Kettleborough
Earlham Institute;
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Elena Lopez-Girona
The James Hutton Institute
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Michael Giolai
Earlham Institute;
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Darren Heavens
Earlham Institute;
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David Baker
Earlham Institute;
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Ashleigh Lister
Earlham Institute;
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Gail Wilde
The James Hutton Institute
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Ingo Hein
The James Hutton Institute
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Iain Macaulay
Earlham Institute;
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Glenn J. Bryan
The James Hutton Institute
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Matthew D. Clark
Earlham Institute;
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  • For correspondence: matt.clark@earlham.ac.uk
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Abstract

A high quality genome sequence of your model organism is an essential starting point for many studies. Old clone based methods are slow and expensive, whereas faster, cheaper short read only assemblies can be incomplete and highly fragmented, which minimises their usefulness. The last few years have seen the introduction of many new technologies for genome assembly. These new technologies and new algorithms are typically benchmarked on microbial genomes or, if they scale appropriately, human. However, plant genomes can be much more repetitive and larger than human, and plant biology makes obtaining high quality DNA free from contaminants difficult. Reflecting their challenging nature we observe that plant genome assembly statistics are typically poorer than for vertebrates. Here we compare Illumina short read, PacBio long read, 10x Genomics linked reads, Dovetail Hi-C and BioNano Genomics optical maps, singly and combined, in producing high quality long range genome assemblies of the potato species S. verrucosum. We benchmark the assemblies for completeness and accuracy, as well as DNA, compute requirements and sequencing costs. We expect our results will be helpful to other genome projects, and that these datasets will be used in benchmarking by assembly algorithm developers.

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The copyright holder for this preprint is the author/funder. It is made available under a CC-BY 4.0 International license.
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  • Posted October 11, 2017.

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A critical comparison of technologies for a plant genome sequencing project
Pirita Paajanen, George Kettleborough, Elena Lopez-Girona, Michael Giolai, Darren Heavens, David Baker, Ashleigh Lister, Gail Wilde, Ingo Hein, Iain Macaulay, Glenn J. Bryan, Matthew D. Clark
bioRxiv 201830; doi: https://doi.org/10.1101/201830
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A critical comparison of technologies for a plant genome sequencing project
Pirita Paajanen, George Kettleborough, Elena Lopez-Girona, Michael Giolai, Darren Heavens, David Baker, Ashleigh Lister, Gail Wilde, Ingo Hein, Iain Macaulay, Glenn J. Bryan, Matthew D. Clark
bioRxiv 201830; doi: https://doi.org/10.1101/201830

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