{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T03:42:29Z","timestamp":1771904549975,"version":"3.50.1"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>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 (&amp;gt;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\u2014along with their prevalence\u2014using 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.<\/jats:p>\n               <jats:p>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\/.<\/jats:p>\n               <jats:p>Contact: \u00a0ahnven@yahoo.it; ahnven@gmail.com<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btr627","type":"journal-article","created":{"date-parts":[[2011,11,17]],"date-time":"2011-11-17T11:42:06Z","timestamp":1321530126000},"page":"132-133","source":"Crossref","is-referenced-by-count":125,"title":["QuRe: software for viral quasispecies reconstruction from next-generation sequencing data"],"prefix":"10.1093","volume":"28","author":[{"given":"Mattia C. F.","family":"Prosperi","sequence":"first","affiliation":[{"name":"Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, Emerging Pathogens Institute, University of Florida, Gainesville, FL 32610-3633, USA"}]},{"given":"Marco","family":"Salemi","sequence":"additional","affiliation":[{"name":"Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, Emerging Pathogens Institute, University of Florida, Gainesville, FL 32610-3633, USA"}]}],"member":"286","published-online":{"date-parts":[[2011,11,15]]},"reference":[{"key":"2023061011443934700_B1","doi-asserted-by":"crossref","first-page":"e1001022","DOI":"10.1371\/journal.pcbi.1001022","article-title":"The evolutionary analysis of emerging low frequency HIV-1 CXCR4 using variants through time-an ultra-deep approach","volume":"6","author":"Archer","year":"2010","journal-title":"PLoS Comput. 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