BlindCall: ultra-fast base-calling of high-throughput sequencing data by blind deconvolution | Zendy

Chengxi Ye | Zendy; Chiaowen Joyce Hsiao | Zendy; Héctor Corrada Bravo | Zendy

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BlindCall: ultra-fast base-calling of high-throughput sequencing data by blind deconvolution

Author(s) -

Chengxi Ye,

Chiaowen Joyce Hsiao,

Héctor Corrada Bravo

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu010

Subject(s) - computer science , deconvolution , throughput , probabilistic logic , base (topology) , process (computing) , blind deconvolution , algorithm , computer engineering , machine learning , artificial intelligence , mathematics , telecommunications , mathematical analysis , wireless , operating system

Base-calling of sequencing data produced by high-throughput sequencing platforms is a fundamental process in current bioinformatics analysis. However, existing third-party probabilistic or machine-learning methods that significantly improve the accuracy of base-calls on these platforms are impractical for production use due to their computational inefficiency.

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