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bioRxiv · 10.1101/2021.05.09.443255

Ariadne: Barcoded Linked-Read Deconvolution Using de Bruijn Graphs

Mak, L.·Meleshko, D.·Danko, D. C.·Barakzai, W. N.·Belchikov, N.·Hajirasouliha, I.
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Abstract

Synthetic Long Read (SLR) sequencing techniques such as USTs TELL-Seq, and Loop Genomics LoopSeq combine 3' barcoding with standard short-read sequencing to expand the range of linkage resolution from hundreds to tens of thousands of base-pairs. However, the lack of a 1:1 correspondence between a long fragment and a 3' unique molecular identifier (UMI) confounds the assignment of linkage between short-reads. We introduce Ariadne, a novel assembly graph-based SLR deconvolution algorithm, that can be used to extract single-species read-clouds from SLR datasets to improve the taxonomic classification and de novo assembly of complex populations, such as metagenomes.

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Mak, L., Meleshko, D., Danko, D. C., Barakzai, W. N., Belchikov, N., Hajirasouliha, I.. 2021-05-10. Ariadne: Barcoded Linked-Read Deconvolution Using de Bruijn Graphs. https://doi.org/10.1101/2021.05.09.443255

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