Ariadne: synthetic long read deconvolution using assembly graphs. Academic Article uri icon

Overview

abstract

  • 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.

publication date

  • August 28, 2023

Research

keywords

  • Algorithms
  • Pentaerythritol Tetranitrate

Identity

PubMed Central ID

  • PMC10463629

Scopus Document Identifier

  • 85168791279

Digital Object Identifier (DOI)

  • 10.1186/s13059-023-03033-5

PubMed ID

  • 37641111

Additional Document Info

volume

  • 24

issue

  • 1