Illumina Announces Partnerships to Automate TruSeq® and Nextera® Sample Preparation Kits
News May 15, 2013
Illumina, Inc. announced it is collaborating with providers of liquid handling robotic platforms to develop automation methods for its best-in-class TruSeq and Nextera Sample Preparation kits. Initial partners in this effort are Beckman Coulter Life Sciences, Eppendorf, Hamilton Robotics, PerkinElmer, and Tecan.
These partnerships, and the resulting methods, reflect Illumina's commitment to creating the simplest, most efficient next-generation sequencing (NGS) workflows, and represent an important step towards enabling complete, end-to-end solutions for customers.
"We are excited to work with the top automation providers to deliver solutions that can be readily implemented in the lab, thus saving time for our customers and making automation much more accessible," said Christian Henry, Senior Vice President and General Manager of Illumina's Genomic Solutions business. "TruSeq and Nextera sample preparation kits are designed with master-mixed reagents and simplified protocols to facilitate automation. In the long term, the new methods will allow more samples to be run simultaneously and with fewer errors, while freeing up resources so that customers can focus on their scientific goals."
Under the agreements, sample preparation kits sold by Illumina will be automated by the partners, who will develop, distribute and install the methods on customers' robots, as well as provide technical support. Illumina will assist during development, testing and promotion of the methods. Methods for TruSeq RNA Sample Preparation kits will be available by end of Q2 2013, with automation methods for additional TruSeq and Nextera kits to follow.
Scientists at McGill have found the answer to a question that perplexed Charles Darwin; if natural selection works at the level of the individual, fighting for survival and reproduction, how can a single colony produce worker ants that are so dramatically different in size – from “minor” workers to large-headed soldiers with huge mandibles – especially if they are sterile?
Scientists have developed a successful method to make truly personalized predictions of future disease outcomes for patients with certain types of chronic blood cancers. The study combined extensive genetic and clinical information to predict the prognosis for patients with myeloproliferative neoplasms.
2nd International Conference on Computational Biology and Bioinformatics
May 17 - May 18, 2019