The partnership aims to democratize single-cell spatial analysis data captured on the Rebus Esper™ system and increase biological understanding.
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These new partnerships are intended to bring powerful new Single Cell Analysis Services to Cancer Researchers. ROSALIND adds a Web-based solution to offer advanced biological analysis and interpretation of Single Cell Clusters in tumor genome profiling experiments.
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OnRamp’s ROSALIND and Active Motif offer an improved ChIP-Seq data analysis experience for researchers with state-of-the-art dynamic track plots and advanced collaboration capabilities.
FOR IMMEDIATE RELEASE
San Diego, California – December 12, 2018 - OnRamp BioInformatics, a genomics company focused on scientist-friendly bioinformatics software solutions, today announced they are working with Active Motif to improve accuracies in data analysis for ChIP-Seq experiments.
OnRamp’s flagship software, ROSALIND, provides a point-and-click experience to speed up and simplify the process of genomic data analysis from experiment setup to QC and interactive data visualization to interpretation. With this integration, researchers will now benefit from an optimized analysis that includes the unique characteristics of Active Motif kits and antibodies, including Unique Molecular Identifiers (UMI) and spike-in solutions.
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OnRamp and Advaita announce a Strategic Partnership to bring collaboration and widespread accessibility to genomic data analysis
San Diego, CA – May 3, 2018 – OnRamp Bioinformatics, Inc., a genomics company providing the premier scientist-focused data analysis platform, and Advaita BioInformatics, a leader in personalized medicine and interpretation of Next-Gen Sequencing data, announced they are partnering to provide a comprehensive research experience from sample to interpretation with a seamless handoff between systems.
OnRamp.Bio’s flagship product, ROSALIND™, enables researchers, drug developers and bench scientists to analyze raw genomics data by providing a transformative experience through point-and-click experiment set up, interactive data visualization and interpretation. This new approach increases productivity by freeing up time for the bioinformatician to focus on more challenging workloads, while making bioinformatic analysis more accessible for the scientist to do more discovery with their data.
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Dr. Robi Ludwig interviews OnRamp CEO, Tim Wesselman, to explore the future needs for genomics to scale.
Tim Wesselman, the Chief Executive Officer of OnRamp.Bio, is on a mission to streamline, simplify and revolutionize the way we currently analyze and store genomic data, the data found within the DNA of every living thing.
You might be thinking, why is this so important? Well, this form of analysis allows researchers, biologists and drug developers to access the genomic information they need, which will permit them to achieve greater discoveries; discoveries that will benefit both individuals and society.
Wesselman spent the last two decades as a senior executive in top technology companies working on next generation data management and storage solutions (called hyper-scale). He is a graduate of multiple executive programs in Finance, Accounting, Investor Relations and Strategic Marketing from Columbia University, Rice University and University of Michigan and holds a B.S. Mechanical Engineering degree from Texas A&M University. Wesselman believes that software innovation will allow researchers to be in control of their own research, in a way that they aren’t now, enabling them to operate at a speed more in sync with today’s modern world’s pace: A pace which is becoming exponentially faster all of the time.
After a frightening experience Tim Wesselman had with the safety of his third unborn child who was medically at risk, he became even more determined to improve upon the research around this scientific quagmire when it came to obtaining genomic results for personalize medicine and patient care. The incident concerning his unborn child further underscored his belief that the inner secrets of life encoded in DNA, especially when it comes to disease and environment, are far too important to not be translated in a way that makes the most sense. In a way that facilitates the greatest minds of our time to find the answers, cures, and treatment impacting our current and future society.
Tim Wesselman and I got into more details about this intriguing and very modern scientific topic during our interview here.
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Our mission is to transform how cancer researchers and biologists analyze their data (at SCALE)!
Advanced bioinformaticians deserve all of the credit for building state-of-the-art applications to analyze genomic, proteomic, and microarray data. While these tools remain the lifeline of genomic analysis, more simplified user experiences are now required to empower today’s cancer biologists to focus on their research application, not which software application to use.
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Transcriptome differences in prostate cancer highlight racial disparities.
African-American and European-American men with prostate cancer exhibit significantly different expression of genes associated with immune response and inflammation.
Systems-level, RNA analyses support the concept that inflammatory processes may contribute to racial disparities in disease progression and that vitamin D3 supplementation can modulate pro-inflammatory transcripts.