id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
10_1101-698605	Sarantopoulou, Dimitra	Comparative evaluation of full-length isoform quantification from RNA-Seq	2021	37	.pdf	application/pdf	12853	1332	55	Comparative evaluation of full-length isoform quantification from RNA-Seq Full-length isoform quantification from RNA-Seq is a key goal in transcriptomics analyses benchmarking, isoform quantification, simulated data, pseudo-alignment, RNA-Seq, short Given the difficulty in full-length isoform quantification, many RNA-Seq studies simply analysis performed on the known true isoform quantifications of the simulated data to the For the simulated data we started with 11 real RNA-Seq samples: six liver and six the isoform expression level using idealized and realistic simulated data, with full and true counts), for the set of expressed isoforms in sample 1 in C) idealized and D) realistic data. Method effect on differential expression analysis, using realistic data. Method effect on differential expression analysis, using realistic data. RSEM is a gene/isoform abundance tool for RNA-Seq data which uses a generative model S1 Fig. Method effect on full-length isoform quantification using simulated data. Method effect on full-length isoform quantification using simulated data.	./cache/10_1101-698605.pdf	./txt/10_1101-698605.txt