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Ariadne: synthetic long read deconvolution using assembly graphs.

Lauren MakDmitry MeleshkoDavid C DankoWaris N BarakzaiSalil MaharjanNatan BelchikovIman Hajirasouliha
Published in: Genome biology (2023)
Synthetic long read sequencing techniques such as UST's TELL-Seq and Loop Genomics' LoopSeq combine 3[Formula: see text] 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[Formula: see text] unique molecular identifier confounds the assignment of linkage between short reads. We introduce Ariadne, a novel assembly graph-based synthetic long read deconvolution algorithm, that can be used to extract single-species read-clouds from synthetic long read datasets to improve the taxonomic classification and de novo assembly of complex populations, such as metagenomes.
Keyphrases
  • single molecule
  • single cell
  • machine learning
  • genome wide
  • rna seq
  • deep learning
  • oxidative stress
  • smoking cessation
  • gene expression
  • transcription factor
  • dna methylation
  • preterm infants
  • genetic diversity