Estimating transcriptome complexities across eukaryotes.

ABSTRACT:

Background

Genomic complexity is a growing field of evolution, with case studies for comparative evolutionary analyses in model and emerging non-model systems. Understanding complexity and the functional components of the genome is an untapped wealth of knowledge ripe for exploration. With the "remarkable lack of correspondence" between genome size and complexity, there needs to be a way to quantify complexity across organisms. In this study, we use a set of complexity metrics that allow for evaluating changes in complexity using TranD.

Results

We ascertain if complexity is increasing or decreasing across transcriptomes and at what structural level, as complexity varies. In this study, we define three metrics - TpG, EpT, and EpG- to quantify the transcriptome's complexity th

SUBMITTER: Titus-McQuillan JE 

PROVIDER: S-EPMC10173493 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature