ASHLEYS: automated quality control for single-cell Strand-seq data | Zendy

C. Gros | Zendy; Ashley D. Sanders | Zendy; Jan O. Korbel | Zendy; Tobias Marschall | Zendy; Peter Ebert | Zendy

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ASHLEYS: automated quality control for single-cell Strand-seq data

Author(s) -

C. Gros,

Ashley D. Sanders,

Jan O. Korbel,

Tobias Marschall,

Peter Ebert

Publication year - 2021

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/btab221

Subject(s) - computer science , mit license , domain (mathematical analysis) , task (project management) , phaser , control (management) , data mining , quality (philosophy) , software , artificial intelligence , programming language , mathematical analysis , philosophy , physics , mathematics , management , epistemology , optics , economics

Single-cell DNA template strand sequencing (Strand-seq) enables chromosome length haplotype phasing, construction of phased assemblies, mapping sister-chromatid exchange events and structural variant discovery. The initial quality control of potentially thousands of single-cell libraries is still done manually by domain experts. ASHLEYS automates this tedious task, delivers near-expert performance and labels even large datasets in seconds.

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