Comparability of reference-based and reference-free transcriptome analysis approaches at the gene expression level.

ABSTRACT:

Background

Lately, high-throughput RNA sequencing has been extensively used to elucidate the transcriptome landscape and dynamics of cell types of different species. In particular, for most non-model organisms lacking complete reference genomes with high-quality annotation of genetic information, reference-free (RF) de novo transcriptome analyses, rather than reference-based (RB) approaches, are widely used, and RF analyses have substantially contributed toward understanding the mechanisms regulating key biological processes and functions. To date, numerous bioinformatics studies have been conducted for assessing the workflow, production rate, and completeness of transcriptome assemblies within and between RF and RB datasets. However, the degree of consistency and variability of re

SUBMITTER: Lee SG 

PROVIDER: S-EPMC8529712 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature