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REXTAL: Regional Extension of Assemblies Using Linked-Reads

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Bioinformatics Research and Applications (ISBRA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 10847))

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Abstract

It is currently impossible to get complete de novo assembly of segmentally duplicated genome regions using genome-wide short-read datasets. Here, we devise a new computational method called Regional Extension of Assemblies Using Linked-Reads (REXTAL) for improved region-specific assembly of segmental duplication-containing DNA, leveraging genomic short-read datasets generated from large DNA molecules partitioned and barcoded using the Gel Bead in Emulsion (GEM) microfluidic method [1]. We show that using REXTAL, it is possible to extend assembly of single-copy diploid DNA into adjacent, otherwise inaccessible subtelomere segmental duplication regions and other subtelomeric gap regions. Moreover, REXTAL is computationally more efficient for the directed assembly of such regions from multiple genomes (e.g., for the comparison of structural variation) than genome-wide assembly approaches.

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Acknowledgement

The work in this paper is supported in part by NIH R21CA177395 (HR and MX), and Modeling and Simulation Scholarship (to TI) from Old Dominion University.

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Correspondence to Tunazzina Islam .

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Islam, T., Ranjan, D., Young, E., Xiao, M., Zubair, M., Riethman, H. (2018). REXTAL: Regional Extension of Assemblies Using Linked-Reads. In: Zhang, F., Cai, Z., Skums, P., Zhang, S. (eds) Bioinformatics Research and Applications. ISBRA 2018. Lecture Notes in Computer Science(), vol 10847. Springer, Cham. https://doi.org/10.1007/978-3-319-94968-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-94968-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94967-3

  • Online ISBN: 978-3-319-94968-0

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