Dr.seq: a quality control and analysis pipeline for droplet sequencing | Zendy

Xiao Huo | Zendy; Shengen Hu | Zendy; Chengchen Zhao | Zendy; Yong Zhang | Zendy

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Dr.seq: a quality control and analysis pipeline for droplet sequencing

Author(s) -

Xiao Huo,

Shengen Hu,

Chengchen Zhao,

Yong Zhang

Publication year - 2016

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/btw174

Subject(s) - pipeline (software) , computer science , quality (philosophy) , control (management) , computational biology , biology , artificial intelligence , programming language , physics , quantum mechanics

Drop-seq has recently emerged as a powerful technology to analyze gene expression from thousands of individual cells simultaneously. Currently, Drop-seq technology requires refinement and quality control (QC) steps are critical for such data analysis. There is a strong need for a convenient and comprehensive approach to obtain dedicated QC and to determine the relationships between cells for ultra-high-dimensional datasets.

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