10.6084/m9.figshare.11854182.v1 Gaurav Kumar Gaurav Kumar Adam Ertel Adam Ertel George Feldman George Feldman Joan Kupper Joan Kupper Paolo Fortina Paolo Fortina Additional file 3 of iSeqQC: a tool for expression-based quality control in RNA sequencing Springer Nature 2020 RNA sequencing quality control Count based QC Expression-based QC RNA seq QC tool 2020-02-14 08:11:05 Journal contribution https://springernature.figshare.com/articles/journal_contribution/Additional_file_3_of_iSeqQC_a_tool_for_expression-based_quality_control_in_RNA_sequencing/11854182 Additional file 3. Public Dataset Results. Quality control metrics produced by iSeqQC from other datasets. A) Counts distribution plot showing several low-expressed samples on Bottomly dataset; B) GC-bias plot showing no GC-content bias in any samples on Bottomly dataset; C) Unsupervised PCA clustering (un-normalized) showing variation in several samples in Risso dataset; D) Multifactor PCA showing library protocol method and different flow cell to be the major source of the variation; E) Unsupervised PCA clustering (un-normalized) showing samples clustered based on RNA extraction method in Tarazona dataset; F) Multifactor PCA showing RNA-extraction method to be the major source of variation.