id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
10_1101-2021_01_07_425794	Chisanga, David	Impact of gene annotation choice on the quantification of RNA-seq data	2021	24	.pdf	application/pdf	9715	1233	66	Despite the importance of gene annotations in RNA-seq data analysis, very little research has been conducted to examine how differences in annotations impact on gene compared the effect of human genome annotations from popular databases including Ensembl, GENCODE and RefSeq on various aspects of RNA-seq analysis and they showed gene-level expression quantification in an RNA-seq data analysis pipeline. The Ensembl, RefSeq-NCBI and RefSeqRsubread annotations were provided to featureCounts to generate read counts for genes Gene expression data generated using TaqMan RT-PCR and Illumina's BeadChip microarray were used to validate the gene-level quantification results from the RNA-seq The Ensembl and NCBI RefSeq annotations are among the most widely used gene annotations that have been utilized for RNA-seq gene expression quantification in the field. led to a better concordance in gene expression between the RNA-seq data and the RTPCR data, compared to the use of Ensembl and RefSeq-NCBI annotations.	./cache/10_1101-2021_01_07_425794.pdf	./txt/10_1101-2021_01_07_425794.txt