| Literature DB >> 22088846 |
Mattia C F Prosperi1, Marco Salemi.
Abstract
SUMMARY: Next-generation sequencing (NGS) is an ideal framework for the characterization of highly variable pathogens, with a deep resolution able to capture minority variants. However, the reconstruction of all variants of a viral population infecting a host is a challenging task for genome regions larger than the average NGS read length. QuRe is a program for viral quasispecies reconstruction, specifically developed to analyze long read (>100 bp) NGS data. The software performs alignments of sequence fragments against a reference genome, finds an optimal division of the genome into sliding windows based on coverage and diversity and attempts to reconstruct all the individual sequences of the viral quasispecies--along with their prevalence--using a heuristic algorithm, which matches multinomial distributions of distinct viral variants overlapping across the genome division. QuRe comes with a built-in Poisson error correction method and a post-reconstruction probabilistic clustering, both parameterized on given error rates in homopolymeric and non-homopolymeric regions. AVAILABILITY: QuRe is platform-independent, multi-threaded software implemented in Java. It is distributed under the GNU General Public License, available at https://sourceforge.net/projects/qure/. CONTACT: ahnven@yahoo.it; ahnven@gmail.com SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.Mesh:
Year: 2011 PMID: 22088846 PMCID: PMC3244773 DOI: 10.1093/bioinformatics/btr627
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937