We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Research Partnership to Advance Genomics and Bioinformatics Technology

By LabMedica International staff writers
Posted on 06 Feb 2012
A new collaboration using high-performance pipeline automation technology has been initiated to accelerate next-generation sequencing and bioinformatics capabilities. Moreover, the collaborative program supports the advancement of bioinformatics, genetic pipelines, and applied high-performance computing.

Appistry, Inc. (St. Louis, MO, USA), a company focused on solving complex, data intensive problems, announced a strategic partnership with the University of Missouri (UM; Columbia, USA) to enhance the school’s genomic research. Through the partnership, the University of Missouri will deploy Ayrris/BIO, Appistry’s high-performance pipeline automation system.

Through the UM Bioinformatics Consortium, a resource for high-performance computational infrastructure geared toward facilitating intercampus communication and bioinformatics research collaborations, the University of Missouri has emerged as the Midwest’s leading innovator in genomic research and data analysis. While the university’s agricultural genomics research continues to create perceptive returns, with computational data storage nearing capacity, the deployment of a data life cycle management system emerged as a requirement. Appistry’s computational storage technology will remove data logjams and manage workloads while enabling downstream bioinformatics at scale.

As part of the partnership, Appistry’s technologies will enable the University of Missouri to construct, manage, and execute high throughput computing techniques to develop new pipelines for accurate, cost-effective, and high quality analysis of genomic data. The University of Missouri will deploy the Ayrris/BIO high-performance computing platform to increase the computational range of their automated sequencing pipelines and alleviate their data management burden. The early research projects using the appliance will be focused on plant and animal genomics work that is ongoing at the MU campus.

“We are really excited about the opportunities that this partnership with Appistry brings to the University,” commented Gordon Springer, PhD, department of computer science scientific director, at University of Missouri Bioinformatics Consortium. “Our ability to quickly and efficiently carry out the early and secondary analysis of sequence data to answer important questions about plant, animal, and human genomics problems with new state of the art technologies is like the opening of a new bridge on the path to discovery. Where we end up is unknown, but that’s what makes it so exciting; to be able to discover new things about ourselves and nature.”

“The opportunity to partner with our state’s most influential research and academic organization is not only thrilling--it’s a critical development for the advancement of bioinformatics and next-generation sequencing,” said Kevin Haar, CEO of Appistry. “Regional collaborations like this are necessary to accelerate innovation in life sciences and to complete the life cycle of genomic research and analysis in order to support the advancement of personalized medicine and other medical breakthroughs.”

Related Links:
Appistry
University of Missouri



Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
Complement 3 (C3) Test
GPP-100 C3 Kit
Gold Member
Xylazine Immunoassay Test
Xylazine ELISA

Latest BioResearch News

Genome Analysis Predicts Likelihood of Neurodisability in Oxygen-Deprived Newborns

Gene Panel Predicts Disease Progession for Patients with B-cell Lymphoma

New Method Simplifies Preparation of Tumor Genomic DNA Libraries