{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/correcting-illumina-sequencing-errors-for","title":"Correcting Illumina sequencing errors for human data","arxiv_id":"1502.03744","date":"2015-02-12","proceeding":null,"authors":[],"abstract":"Summary: We present a new tool to correct sequencing errors in Illumina data\nproduced from high-coverage whole-genome shotgun resequencing. It uses a\nnon-greedy algorithm and shows comparable performance and higher accuracy in an\nevaluation on real human data. This evaluation has the most complete collection\nof high-performance error correctors so far.\n  Availability and implementation: https://github.com/lh3/bfc\n  Contact: hengli@broadinstitute.org","url_abs":"http://arxiv.org/abs/1502.03744v1","url_pdf":"http://arxiv.org/pdf/1502.03744v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"correcting-illumina-sequencing-errors-for","repo_url":"https://github.com/lh3/bfc","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}