Genialis is excited to announce the recent deployment of a web application for the interactive visualization of neuronal gene expression. Our client is the laboratory of Dr. Steve Goldman, Distinguished Professor of Neuroscience and Neurology at University of Rochester Medical Center, and co-director of The Center for Translational Neuromedicine. Dr. Goldman’s lab and the CTN work to elucidate regulatory mechanisms that govern CNS stem and progenitor cells, with their eyes on new therapeutic approaches to neurological diseases. In the coming months, we will reveal a public instance to make their data and analyses accessible to the world. In the meantime, […] Read more
Massive data generated by genomics poses many analytical challenges. Chief among them is how to visually represent this information so that scientists can discern patterns, interpret statistical results and communicate their findings to colleagues and lay audiences. I have spent a great deal of time pondering how to accurately and most meaningfully display high-dimensional data, in my own research and now as product manager for Genialis’ Platform and Expressions software. When I need inspiration I go to the source: Edward R. Tufte’s classic book, The Visual Display of Quantitative Information (Graphics Press, 1983).
Tufte treats his readers to a brief history […] Read more
Apart from your vision, mission, product and compensation, anybody who is investing in your company, especially employees, will be genuinely interested in what you believe, your values, and your way of doing things.
When I interview new potential hires, I also tell them what we believe in at Genialis and how that influences the way we work. For example, I tell them we are trust-based, open in our processes and that we encourage autonomy. But after lots of interviews, I realized my “pitch” was becoming inconsistent. First, I realized the number of things we strongly believe in was growing over time. […] Read more
First microarrays and now next generation sequencing have changed the landscape of data analysis in clinical research and diagnostics. Whole exome or whole genome sequencing data help human geneticists track down variants responsible for cancer, heritable maladies, rare de novo disease and even susceptibility to environmental antagonists. More and more, clinical researchers rely on gene expression data to provide greater insight into the molecular phenotype. Regardless of the flavor of the sequencing, the scale of these high throughput datasets is game changing, especially, when associated with the hundreds or even thousands of clinical parameters collected for each sample or patient.
The […] Read more
Resolwe is an open source project that encompasses much of the data flow and bioinformatics capabilities of the Genialis software. The goals of the project are to: provide a powerful and flexible approach to data flow for complex analyses; share our data analysis pipelines and crowdsource bioinformatics expertise from our community of collaborators; and foster collaboration through the open source software framework. We believe that data should be analyzed in plain sight, rather than within the depths of some black box. This transparency is essential to arrive at the right answer, and to get there with trust and confidence.
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Genialis was honored to co-sponsor the RNA-seq Summit 2016 in San Francisco, California this April 27 – 29. Representing the team was Genialis President, Rafael Rosengarten, and Senior Bioinformatician, Janez Kokosar. Our booth, sandwiched between two industry behemoths, generated lots of interest from numerous conference delegates. Undoubtedly the foot traffic was due to our striking banner and excellent new video demo of the Genialis Tx NGS data ecosystem. The giant bowl of chocolate candies didn’t hurt either.
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