Modelling BioNano optical data and simulation study of genome map assembly.

ABSTRACT:

Motivation

The launch of the BioNano next-generation mapping system has greatly enhanced the performance of physical map construction, thus rapidly expanding the application of optical mapping in genome research. Data biases have profound implications for downstream applications. However, very little is known about the properties and biases of BioNano data, and the very factors that contribute to whole-genome optical map assembly.

Results

We generated BioNano molecule data from eight organisms with diverse base compositions. We first characterized the properties/biases of BioNano molecule data, i.e. molecule length distribution, false labelling signal, variation of optical resolution and coverage distribution bias, and their inducing factors such as chimeric molecules, fragi

SUBMITTER: Chen P 

PROVIDER: S-EPMC6247929 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature