A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor [version 2; referees: 1 approved, 4 approved with reservations]

Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cells. This provides biological resolution that cannot be matched by bulk RNA sequencing, at the cost of increased technical noise and data complexity. The differences between scRNA-seq and bulk RNA-seq...

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Bibliographic Details
Main Authors: Aaron T.L. Lun, Davis J. McCarthy, John C. Marioni
Format: Article
Language:English
Published: F1000 Research Ltd 2016-10-01
Series:F1000Research
Subjects:
Online Access:https://f1000research.com/articles/5-2122/v2