Probabilistic model based on circular statistics for quantifying coverage depth dynamics originating from DNA replication.

ABSTRACT:

Background

With the development of DNA sequencing technology, static omics profiling in microbial communities, such as taxonomic and functional gene composition determination, has become possible. Additionally, the recently proposed in situ growth rate estimation method allows the applicable range of current comparative metagenomics to be extended to dynamic profiling. However, with this method, the applicable target range is presently limited. Furthermore, the characteristics of coverage depth during replication have not been sufficiently investigated.

Results

We developed a probabilistic model that mimics coverage depth dynamics. This statistical model explains the bias that occurs in the coverage depth due to DNA replication and errors that arise from coverage depth obser

SUBMITTER: Suzuki S 

PROVIDER: S-EPMC7104724 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature