10x Genomics a company focused on accelerating genomic discovery has announced the launch of a new version of their de novo assembly solution to provide a fast, cost-effective solution for creating de novo assemblies at scale for plants and animals.
Enhancements to the Chromium de novo Assembly Solution, including the new version of the assembly software, Supernova 2.0, will be presented at the International Plant and Animal Genome Conference 2018 (PAGXXVI) being held from January 13th to 17th in San Diego, CA.
‘The power of 10x Genomics' Chromium de novo Assembly Solution is that it is a simple process; a ‘cookbook’ library, standard low-cost sequencing, and push button assembly. Our one library yields long scaffolds for plants and insects, and 40 Mb scaffolds for mammals. We see this as the path to genome biology at scale,’ says David Jaffe, Computational Biology Fellow and co-developer of Supernova at 10x Genomics.
The de novo assembly solution supports high-throughput crop health, breeding, and other agrigenomic studies. With a low input DNA requirement of 1 ng and optimised DNA preparation protocols, researchers can create a high-quality de novo assembly from a single insect in as little as one week.
‘Using 10x technology to do assemblies at scale democratizes the generation of reference genome assemblies and will change the way people think about agricultural genomics,’ said Doreen Ware, Research Scientist from USDA ARS and Cold Spring Harbor Laboratory.
Sample datasets generated by Supernova 2.0 will be publicly released, including genomes for humans, plants, insects and other animals, to showcase the improvements such as longer contigs, scaffolds, and phase blocks. Customers can download Supernova 2.0 software now from the company website.
A growing number of researchers are adopting the Chromium de novo Assembly Solution for non-human genomics studies, including members of the Genome 10K Vertebrate Genome Project (G10K-VGP). Many in the community are developing informatics tools to enhance Chromium de novo Assembly and the utility of Linked-Read data. This includes tools for better understanding model organisms, building reference genome sets, capturing biodiversity of species, and studying the evolution of organisms.
