Eureka Genomics Launches a Novel Custom Genotyping Service
News May 09, 2012
Eureka Genomics (EG) has launched a custom service for the detection of a moderate number of markers in a large sample number of samples; a low cost, low density marker assay (LDMA).
The platform is designed for the customized detection of hundreds of SNPs in thousands of samples using a single lane of an Illumina next generation sequencer. Instead of making large amounts of data on small numbers of sample, LDMA makes very focused data on a large number of samples.
According to EG, this service can be used very broadly and provides researchers with an affordable tool to validate the putative makers from GWA and other types of studies. This custom service utilizes the power of next generation sequencing data generation and EG’s proprietary bioinformatics and can be applied to the detection of SNPs, CNV, presence/absence and methylation. It can be used with DNA or RNA, with model organisms, commercial organisms or exotic organisms, and with complete or incomplete genomes.
“With this new service, individual researchers can harness the cost effectiveness of next generation sequencers to produce massive amounts of data that is focused on their biological sequences and SNPs of interest over large numbers of samples,” said Heather Koshinsky, CSO, Eureka Genomics. “Instead of spending resources on all the extra data that accompany traditional arrays and sequencing, with the LDMA service researchers can focus on their biomarkers of interest and move more quickly and cost effectively to understand their biological question or disease.”
Mechanism Controlling Multiple Sclerosis Risk IdentifiedNews
Researchers at Karolinska Institutet have now discovered a new mechanism of a major risk gene for multiple sclerosis (MS) that triggers disease through so-called epigenetic regulation. They also found a protective genetic variant that reduces the risk for MS through the same mechanism.
Antarctic Worm and Machine Learning Help Identify Cerebral Palsy EarlierNews
A research team has released a study in the peer-reviewed journal BMC Bioinformatics showing that DNA methylation patterns in circulating blood cells can be used to help identify spastic cerebral palsy (CP) patients. The technique which makes use of machine learning, data science and even analysis of Antarctic worms, raises hopes for earlier targeted CP therapies.
Ancient Syphilis Genomes Decoded for First TimeNews
Researchers recovered three genomes of the bacterium Treponema pallidum from skeletal remains from colonial-era Mexico, and were able to distinguish the subspecies that causes syphilis from the subspecies that causes yaws. It was not previously thought possible to recover DNA from this bacterium from ancient samples.