{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T17:20:10Z","timestamp":1769275210064,"version":"3.49.0"},"reference-count":10,"publisher":"Oxford University Press (OUP)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,4,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: The R453Plus1Toolbox is an R\/Bioconductor package for the analysis of 454 Sequencing data. Projects generated with Roche's data analysis software can be imported into R allowing advanced and customized analyses within the R\/Bioconductor environment for sequencing data. Several methods were implemented extending the current functionality of Roche's software. These extensions include methods for quality assurance and annotation of detected variants. Further, a pipeline for the detection of structural variants, e.g. balanced chromosomal translocations, is provided.<\/jats:p>\n               <jats:p>Availability: The R453Plus1Toolbox is implemented in R and available at http:\/\/www.bioconductor.org\/. A vignette outlining typical workflows is included in the package.<\/jats:p>\n               <jats:p>Contact: \u00a0h.klein@uni-muenster.de<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btr102","type":"journal-article","created":{"date-parts":[[2011,2,25]],"date-time":"2011-02-25T01:38:20Z","timestamp":1298597900000},"page":"1162-1163","source":"Crossref","is-referenced-by-count":21,"title":["R453Plus1Toolbox: an R\/Bioconductor package for analyzing Roche 454 Sequencing data"],"prefix":"10.1093","volume":"27","author":[{"given":"Hans-Ulrich","family":"Klein","sequence":"first","affiliation":[{"name":"1 Department of Medical Informatics and Biomathematics, University of M\u00fcnster, M\u00fcnster and 2Munich Leukemia Laboratory, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christoph","family":"Bartenhagen","sequence":"additional","affiliation":[{"name":"1 Department of Medical Informatics and Biomathematics, University of M\u00fcnster, M\u00fcnster and 2Munich Leukemia Laboratory, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Kohlmann","sequence":"additional","affiliation":[{"name":"1 Department of Medical Informatics and Biomathematics, University of M\u00fcnster, M\u00fcnster and 2Munich Leukemia Laboratory, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vera","family":"Grossmann","sequence":"additional","affiliation":[{"name":"1 Department of Medical Informatics and Biomathematics, University of M\u00fcnster, M\u00fcnster and 2Munich Leukemia Laboratory, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Ruckert","sequence":"additional","affiliation":[{"name":"1 Department of Medical Informatics and Biomathematics, University of M\u00fcnster, M\u00fcnster and 2Munich Leukemia Laboratory, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Torsten","family":"Haferlach","sequence":"additional","affiliation":[{"name":"1 Department of Medical Informatics and Biomathematics, University of M\u00fcnster, M\u00fcnster and 2Munich Leukemia Laboratory, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Dugas","sequence":"additional","affiliation":[{"name":"1 Department of Medical Informatics and Biomathematics, University of M\u00fcnster, M\u00fcnster and 2Munich Leukemia Laboratory, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2011,2,23]]},"reference":[{"key":"2023061311475525700_B1","doi-asserted-by":"crossref","first-page":"2684","DOI":"10.1093\/bioinformatics\/btq528","article-title":"SLOPE: a quick and accurate method for locating non-SNP structural variation from targeted next-generation sequence data","volume":"26","author":"Abel","year":"2010","journal-title":"Bioinformatics"},{"key":"2023061311475525700_B2","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1186\/1471-2105-11-269","article-title":"Analysing 454 amplicon resequencing experiments using the modular and database oriented Variant Identification Pipeline","volume":"11","author":"De Schrijver","year":"2010","journal-title":"BMC Bioinformatics"},{"key":"2023061311475525700_B3","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.jmoldx.2010.09.001","article-title":"Strategy for robust detection of insertions, deletions and point mutations in CEBPA, a GC-rich content gene, using 454 next-generation deep-sequencing technology","volume":"13","author":"Grossmann","year":"2011","journal-title":"J. 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