Additional file 3 of iSeqQC: a tool for expression-based quality control in RNA sequencing
2020-02-14T08:11:05Z (GMT) by
Additional fileÂ 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.