{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T13:48:31Z","timestamp":1764251311745},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,4,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: We propose a targeted re-sequencing simulator Wessim that generates synthetic exome sequencing reads from a given sample genome. Wessim emulates conventional exome capture technologies, including Agilent\u2019s SureSelect and NimbleGen\u2019s SeqCap, to generate DNA fragments from genomic target regions. The target regions can be either specified by genomic coordinates or inferred from in silico probe hybridization. Coupled with existing next-generation sequencing simulators, Wessim generates a realistic artificial exome sequencing data, which is essential for developing and evaluating exome-targeted variant callers.<\/jats:p>\n               <jats:p>Availability: Source code and the packaged version of Wessim with manuals are available at http:\/\/sak042.github.com\/Wessim\/.<\/jats:p>\n               <jats:p>Contact: \u00a0sak042@cs.ucsd.edu or vbafna@cs.ucsd.edu<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btt074","type":"journal-article","created":{"date-parts":[[2013,2,15]],"date-time":"2013-02-15T04:03:00Z","timestamp":1360900980000},"page":"1076-1077","source":"Crossref","is-referenced-by-count":37,"title":["Wessim: a whole-exome sequencing simulator based on <i>in silico<\/i> exome capture"],"prefix":"10.1093","volume":"29","author":[{"given":"Sangwoo","family":"Kim","sequence":"first","affiliation":[{"name":"1 Department of Computer Science and Engineering and 2Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA 92093, USA"}]},{"given":"Kyowon","family":"Jeong","sequence":"additional","affiliation":[{"name":"1 Department of Computer Science and Engineering and 2Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA 92093, USA"}]},{"given":"Vineet","family":"Bafna","sequence":"additional","affiliation":[{"name":"1 Department of Computer Science and Engineering and 2Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA 92093, USA"}]}],"member":"286","published-online":{"date-parts":[[2013,2,14]]},"reference":[{"key":"2023012810290317500_btt074-B1","doi-asserted-by":"crossref","first-page":"e72","DOI":"10.1093\/nar\/gks001","article-title":"Summarizing and correcting the GC content bias in high-throughput sequencing","volume":"40","author":"Benjamini","year":"2012","journal-title":"Nucleic Acids Res."},{"key":"2023012810290317500_btt074-B2","doi-asserted-by":"crossref","first-page":"1533","DOI":"10.1093\/bioinformatics\/bts187","article-title":"pIRS: profile-based illumina pair-end reads simulator","volume":"28","author":"Hu","year":"2012","journal-title":"Bioinformatics"},{"key":"2023012810290317500_btt074-B3","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1093\/bioinformatics\/btr708","article-title":"ART: a next-generation sequencing read 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