A consensus-based ensemble approach to improve transcriptome assembly.

ABSTRACT:

Background

Systems-level analyses, such as differential gene expression analysis, co-expression analysis, and metabolic pathway reconstruction, depend on the accuracy of the transcriptome. Multiple tools exist to perform transcriptome assembly from RNAseq data. However, assembling high quality transcriptomes is still not a trivial problem. This is especially the case for non-model organisms where adequate reference genomes are often not available. Different methods produce different transcriptome models and there is no easy way to determine which are more accurate. Furthermore, having alternative-splicing events exacerbates such difficult assembly problems. While benchmarking transcriptome assemblies is critical, this is also not trivial due to the general lack of true reference tr

SUBMITTER: Voshall A 

PROVIDER: S-EPMC8532302 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature