New Program Provides Researchers With NGS Data Analytics Capability
San Mateo CA January 14, 2013: Maverix Biomics is pleased to announce the availability of the MAGNET (Maverix Academic Grants for NGS Exploration Tools) program for academic and non-profit life sciences researchers. MAGNET grants eliminate the economic barrier for researchers to store, analyze, explore, and visualize Next Generation Sequencing (NGS) data using state-of-the-art cloud-based tools.
The two major bottlenecks for life sciences researchers to make rapid, effective use of the massive amounts of NGS data that are common today are (1) the limited availability of computational biologists trained to analyze and interpret the data, and (2) the cost and difficulty of developing the technology infrastructure necessary to manage, analyze, and visualize the data. The Maverix Analytic Platform provides a solution to both of these problems by integrating the management, exploration, and visualization of genomic data into one easy-to-use cloud-based system. Users can upload their data sets and analyze them using proven, open-source algorithms and applications that are pre-configured
based on published methods by leading researchers. The analyzed results can also be placed into context with data from other sources, including public genome databases and Communities of Discovery for a particular organism, disease state, or research area. Users can visualize the results using a variety of integrated graphical tools, including the UCSC Genome Browser, the world’s most widely used genome browser.
Upon award of a MAGNET grant, the recipient receives a “kit” of integrated platform services at a reduced price of $500/month for up to six months. These services include storage of up to 1 Terabyte of data, creation of a a de novo microbial genome browser with custom annotation and data tracks, or the ability to add new functional genomic data sets to an existing genome browser. This represents a savings of over 80% compared to the regular cost of the Maverix Analytic Platform. The initial six-month grant may be extended if the researcher meets certain criteria, including making a public presentation of their research or publishing a paper referencing use of the Maverix Analytic Platform in their methods.
“We want to promote the use of great open source tools by researchers in academia and other non-profit institutes who are swimming in under-explored data,” said Todd Lowe PhD, Chief Scientific Officer at Maverix. “One of our goals is to significantly expand the audience and effective usage of the best genomic research tools, most of which are freely available but difficult for the typical user to install and use in a powerful compute environment. We will also help bring the vast data scattered among countless specialized databases right to the user’s fingertips, presenting those most relevant to the user’s goals. Less time spent wrangling data means more time focusing on the science, and ultimately getting to the next experiment or discovery faster.”
“The Maverix MAGNET grant program now makes a leading platform accessible to researchers who may not previously have been able to afford it, breaking the bioinformatics bottleneck and democratizing access to data,” said Dave Mandelkern, President and CEO of Maverix. “We’ve designed an easy-to-use platform for researchers interested in all types of organisms (viruses, bacteria, fungi, vertebrate, and plants) and now we want to see it used to accelerate the pace of discovery.”
To apply for the Maverix MAGNET grant program, researchers should send an abstract of their research project and confirmation of their academic institution or non-profit status to firstname.lastname@example.org. Detailed information about the program is available at http://maverixbiostg.wpengine.com/grants.
About Maverix Biomics
Based in San Mateo CA and backed by leading venture capital firms and Silicon Valley investors, Maverix Biomics, Inc. provides researchers with a cloud-based platform to manage, analyze, and visualize genomic data, build Communities of Discovery, and place their data in context with the latest public data from the full spectrum of life, including human, plant, animal, or microbial organisms.