Science for Life Laboratory Joins the Illumina Genome Network
News Feb 24, 2014
Illumina, Inc. announce that Science for Life Laboratory (SciLifeLab) in Sweden has joined the Illumina Genome Network (IGN) to provide researchers with broader access to Illumina's whole genome sequencing technology. SciLifeLab is the first IGN partner in Europe and will initiate a national large-scale population sequencing program seeking to identify genetic causes of human diseases.
"We now have the opportunity to offer an even larger capacity of high throughput sequencing to researchers from all over Sweden. In the research program we are about to launch, we aim to sequence more than 1,000 human genomes using the Illumina systems," said Joakim Lundeberg, Professor in Gene Technology at KTH Royal Institute of Technology and Director of the National Genomics Infrastructure at Science for Life Laboratory.
"We are very excited to welcome the SciLifeLab to our prestigious group of IGN partners and to work with them on their groundbreaking national genome sequencing project," said Alex Dickinson, Senior Vice President Strategic Initiatives for Illumina. "We look forward to working with SciLifeLab to speed genetic discovery and establish a map of genetic variability in Sweden."
IGN links researchers needing large-scale, whole human genome sequencing with world class institutions that provide this service, and delivers unmatched access to the highest quality of whole genome sequencing data. All IGN partners are experienced and well-published using Illumina's next-generation sequencing technology, and have completed Illumina's Certified Service Provider (CSPro) certification. Each possesses ten or more Illumina high-throughput sequencing systems, providing the scalability to handle large sequencing projects with rapid completion times.
SciLifeLab joins twelve other IGN partners who provide a full range of WGS services:
• British Columbia Cancer Agency in Vancouver, Canada
• The Broad Institute in Cambridge, Massachusetts
• Cold Spring Harbor Laboratory in Cold Spring Harbor, New York
• HudsonAlpha Institute for Biotechnology in Huntsville, Alabama
• Macrogen & Genomic Medicine Institute in Seoul, Korea
• McGill University in Montreal, Canada
• National Center for Genome Resources in Santa Fe, New Mexico
• New York Genome Center in New York, New York
• Northwest Genomics Center at University of Washington in Seattle, Washington
• Peking University in Beijing, China
• Takara Bio, Shiga, Japan
• Illumina's FastTrack Services lab in San Diego, California
Computer scientists at Carnegie Mellon University say neural networks and supervised machine learning techniques can efficiently characterize cells that have been studied using single cell RNA-sequencing (scRNA-seq). This finding could help researchers identify new cell subtypes and differentiate between healthy and diseased cells.