A multi-objective optimization approach to the design of experiment in de novo assembly projects
The study presents a new approach, based on multi-objective optimization, aiming at transforming the design of genomics experiments from a set of "best practices" to an algorithmically controlled procedure. modeFRONTIER was used in order to infer the final quality of a whole assembly project from the results obtained on a small but representative sample.
Optimal coverages for genome assembly with combined new generation sequencing data
De novo assembly projects often use mixed sequencing technologies, with the combined objective of maximizing the assembly quality and minimizing the sequencing cost. With its optimization and post-processing capabilities, modeFRONTIER can rationalize the DNA assembly process and obtain high-quality results.