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Robert Kleta and His Newly-Formed Team Publish in a Few Short Months with SVSCase Studies
Peter K. Gregersen, MD Puts Analytical Power in the Hands of the Biologist with SVSDr. Peter K. Gregersen, head of the Center for Genomics and Human Genetics at the Feinstein Institute for Medical Research, utilizes GWAS, targeted arrays, and sequencing technologies to identify genes associated with human autoimmune disorders. An increasing number of projects generated the need for an analytical tool that would allow the biologists to find significant data quickly. "I have always thought that putting the analytic power in the hands of the biologists who are thinking about the disease is really important," says Gregersen. With SNP & Variation Suite (SVS), Gregersen can do just that. |
 "Easy-to-Use" SNP & Variation Suite Assists John Curtin, PhD in Uncovering Genetic Associations for Asthma and AllergiesDr. John Curtin is a Lecturer in Functional Genomics at the University of Manchester where he works with a large team studying the development of asthma in a birth cohort: the Manchester Asthma and Allergy Study (MAAS). Dr. Curtin has been conducting genome-wide association studies to uncover the genetic variation(s) that may underlie the risk and development of asthma and its intermediate phenotypes. To perform the analyses, he and his team use SNP & Variation Suite. Dr. Curtin concludes: "Basically SVS is just easy to use." |
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For 10 Years Julia Pinsonneault, PhD Relies on SVS to Find Pharmacogenetic Associations for Central Nervous System DisordersOver the past decade, Dr. Juila Pinsonneault has worked with numerous human cohorts in analyzing genetic susceptibility and drug response to complex diseases. Her focus is central nervous system disorders such as post-partum depression, bipolar disorder, and other disorders affected by the dopamine transporter and estrogen receptor alpha, for example. Clinicians from around the continent send Pinsonneault their cohort samples so that targeted SNPs can be genotyped by restriction fragment length polymorphism (RFLP) analysis and other methods. Dr. Pinsonneault's case study » |
 Dr. Folefac Aminkeng Saves Time and Increases Productivity with SVS to Study the Pharmacogenomics of Adverse Drug Reactions in Cancer TherapyDr. Folefac Aminkeng is a Postdoctoral Fellow at The Centre for Molecular Medicine and Therapeutics at the University of British Columbia in Vancouver, BC, Canada. He utilizes GWAS studies to identify single-nucleotide polymorphisms that might be associated with serious adverse drug reactions in cancer therapeutics. For Aminkeng the use of SNP & Variation Suite (SVS) is vital for efficient and meaningful analyses of large datasets. With SVS, he has seen a tremendous improvement in terms of the speed with which projects are completed. |
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 Robert Kleta, MD, PhD and His Newly-Formed Team Publish in The New England Journal of Medicine in a Few Short Months with SVSThirteen years ago, Dr. Robert Kleta had never heard of a genome-wide association study (GWAS), let alone considered doing one. Now, Dr. Kleta and his colleagues at the University College of London regularly publish articles in The New England Journal of Medicine and other journals on the genetics of rare diseases and their associated phenotypes using SVS. "I am a geneticist and a pediatrician, but at the end of the day, I'm a clinical scientist. SVS is so good that I, myself, without being a computer scientist, could upload the data and actually do a GWAS myself." |
 Sander van der Laan Implements SVS for Greater Efficiency and Ease of UseSander van der Laan, a doctoral candidate at the Interuniversity Cardiology Institute Netherlands based at the University Medical Center Utrecht performs genomic association studies with the goal of uncovering biomarkers and drug targets for atherosclerosis. Upon initiating his PhD work, van der Laan realized that he needed an analytical tool that was better suited to the manipulation of large-scale genomic data than open-source off erings. Van der Laan found SNP & Variation Suite suited his research needs exactly. "With Golden Helix, my frustration went out the door," he says. |
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Raman Babu, PhD Utilizes SVS to Handle Large Datasets with Quick ResultsThe International Maize and Wheat Improvement Center's (CIMMYT) mission is "To sustainably increase the productivity of maize and wheat systems to ensure global food security and reduce poverty." To accomplish this task, one area of focus for the CIMMYT is genetic research and molecular marker technology to improve certain traits of maize and wheat, such as drought tolerance, resistance to disease, and amino acid balance. In this case study, Dr. Raman Babu describes his experience using SVS to analyze model populations in order to predict certain traits at CIMMYT. |
 Agrigenomic Researcher at U.C. Davis, Gonzalo Rincon, DVM, and Colleagues Publish 14 Articles and Obtain 2 Patents Using SVSGonzalo Rincon, DVM is a Project Scientist in the Medrano Lab, part of the Department of Animal Science, at the University of California, Davis. While the lab works on several different species including canine and ovine, the main focus is bovine research. Rincon is in charge of the analysis, and his goal is to find SNP and CNV variations that affect phenotypes such as the quality of milk and beef. Through the use of tools from Golden Helix, Rincon and his colleagues have been able to publish 14 papers and obtain 2 patents, three-to-four times faster than they would have been able to. |
