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.