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prototype-visualization-of-a-genomic-variation-graph
This prototype visualization of a genomic variation graph zooms in on portions of the NOTCH2 gene, an important gene for development. The colored bands represent 5 different variants of the gene, with rectangular shapes representing nodes (shared DNA sequences) and the colored ribbons between nodes representing paths/edges (not sequences). In the top panel, introns are shaded out (at right and left) while the solid colors represent exons 4 and 5. The exons are shown in increasingly greater detail in the bottom two panels. The visualization tool can also provide an intuitive graphical view of inversions, as shown in the green and red loops in the simulated example to the right. Images courtesy of Wolfgang Beyer, software developer for the Computational Genomics Laboratory at the University of California, Santa Cruz.

Visualizing Human Genome Variation

A comprehensive, genomic variation graph offers an intuitive view of how human genomes vary Biomedical Computation Review | By Katharine Miller Humans share 99.5 percent of their DNA sequence, but that still leaves plenty of variation to go around. To get a handle on which …

David Haussler Team Pic

2017 Assembly: Mapping Open Research Ecosystems

April 20 – 22, 2017 – Seattle, WA Hosted by Sage Bionetworks Sage Assmbly invited speaker David Haussler, UC Santa Cruz Genomics Institute’s Scientific Director, addresses the plenary session with his talk, “Evolution of Concepts in Open Ecosystems – Part 2.” Watch the video here.

[Tues. May 16th, 2017] Genomics Institute Seminar: Siddartha Jain

Siddartha Jain Computer Science Department, Carnegie Mellon University Inferring temporal signaling pathways and regulatory networks, and classifying cell types from high-throughput data Tuesday, May 16, 2017 11:00 AM – 12:00 PM 599 Engineering 2 Abstract Cells need to be able to sustain themselves, divide, and …

Children’s Hospitals Incorporating Genomic Testing

Panelists offer details on research programs using genetic information to diagnose and treat tragic childhood diseases. By Steve Sternberg | Senior Writer Nov. 4, 2016, at 2:47 p.m. Read the full article here  

MinION sequencer
“Oxford Nanopore has excited the world with the promise of a technology that can be truly disruptive,” says David Buck of Oxford University.

Mini DNA sequencer tests true

By Mary Todd Bergman:
Public access to Oxford Nanopore’s MinION™ USB-attached miniature sensing device enabled an international consortium to evaluate the technology and provide a standard protocol for its use; Preliminary analysis of data generated in five very different laboratories indicates the performance and accuracy of the device is consistently good; Data are freely available for re-analysis and innovation in the Nanopore analysis channel on F1000Research.

Microsoft Azure logo
"Microsoft's resources can have a big impact in genomics. They have the expertise in cloud computing, and we have the genomics expertise, so this partnership has great potential," UCSC Genomics Scientific Director David Haussler said in a statement.

Microsoft lands cloud genomics infrastructure deal with UC Santa Cruz

By Nick Paul Taylor Microsoft ($MSFT) has captured a little corner of the market for cloud genomics infrastructure. The deal sees the IT giant make its Azure cloud computing platform available to UC Santa Cruz Genomics, which plans to use the system to support its …

Microsoft Azure Logo
"They recognize that genomics is one of the key growth areas for them," he said. "Because [UCSC] has big data, it makes sense for them to want to partner with us in doing these kinds of problems... and to get genomic workflows ported to their systems."

UC Santa Cruz Taps Microsoft’s Azure to Handle Large-Scale Genomics Analysis Projects

NEW YORK (GenomeWeb) – The Genomics Institute at the University of California, Santa Cruz is collaborating with Microsoft’s research division to use Azure, the company’s cloud computing infrastructure, to analyze data from a number of ongoing genomics projects aimed at effectively diagnosing and treating cancer …