The rapid replication and high mutation rates of viruses like HIV lead to the formation of a community of highly similar genomes, referred to as a viral quasispecies, in an infected individual. Next-generation sequencing technologies enable researchers to sequence a complete quasispecies community with reduced expense and effort compared to traditional sequencing methods. However, typical sequence assembly software is designed to reconstruct a single genome from sequencing reads rather than a community of highly similar genomes.
We describe and implement a de novo assembly method for reconstructing variants from a quasispecies community using de Bruijn graphs and a novel, heuristic path-construction method designed to identify corresponding variations at long distances across the genome. We predict the relative abundance of reconstructed variants using an approach inspired from Markov chains.
| Identifer | oai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/9591 |
| Date | 23 October 2012 |
| Creators | Bristow, Franklin |
| Contributors | Van Domselaar, Gary (Computer Science) Domaratzki, Michael (Computer Science), Cameron, Helen (Computer Science) Ball, Blake (Medical Micriobiology) |
| Source Sets | University of Manitoba Canada |
| Detected Language | English |
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