ROSALIND

Heading to ASHG'24? Meet Jeremy Davis-Turak, our CTO on Wednesday at CS Genetics booth #402 to learn more about how CS Genetics is making single cell genomics more accessible and more impactful for the scientific community. We are very excited to empower researchers with intuitive & accessible tools for transformative discoveries. Read more or sign up to join the waitlist: https://lnkd.in/g-8ARG_E #datamadehuman #ashg24

?? Unlock the Power of Spatial Differential Expression: Final GeoMx Data Analysis Masterclass ?? October 31, 2024 | 30 mins instruction + 15 mins Q&A This session dives into advanced techniques for identifying spatial gene expression changes, helping you uncover key biomarkers and biological insights across tissue regions. What You’ll Learn: - Considerations for spatial differential expression analysis - Background information on statistical models like LIMMA and LMM to handle spatial data - Using ROSALIND to apply the correct method for your data Your Instructor: Jessica Noll – Expert in spatial biology and translational research ?? Sign up now and elevate your spatial biology research! https://lnkd.in/eCkEQ-MH

Many platforms rely on outdated normalization methods that introduce bias and noise, potentially hiding critical insights in your #spatialbiology research. Are you truly confident in your data’s accuracy? ?? With Rosalind, you don’t need to be an expert coder to get it right. Our platform offers intuitive, non-coding tools and supports various normalization methods like Quantile normalizations. Rosalind ensures your results are accurate, consistent, and actionable. ?? Don't let poor data practices jeopardize your discoveries. Read summary from our last masterclass session and view replay at link below https://bit.ly/40oSHYJ

Using the right normalization method for your GeoMx data is key! Q3 normalization works well for similar biological backgrounds, but it might not always be the best fit. Quantile normalization—once the gold standard for microarrays—also performs impressively with GeoMx datasets. Check out this paper for a comparison of normalization methods (https://lnkd.in/e2mdkfXb) Join Jessica Noll in our upcoming Masterclass to learn how to optimize your analysis and unlock new insights.

Missed our GeoMx masterclass session on removing low-performing regions and genes during pre-processing? Don’t worry—catch the blog and replay and learn how ROSALIND ensures full transparency and precision, tailored to your specific experimental needs. Read more and watch the replay at the link below to see how you can take control of your data with confidence. https://bit.ly/40097X4 #Genomics #DataTransparency #nanostring #geomx #spatialdataanalysis

The next session of the GeoMx Data Analysis Masterclass will focus on Custom Normalization. With the best approach for GeoMx normalization still up for debate, this session will explore how Rosalind leverages the latest scientific insights to offer a range of normalization techniques, including Quantile and Q3. Join us to learn how to choose the right method for your data. #geomx #datanalysis #nanostring #datamadehuman #spatialtranscriptomics Hope to see you there

As data generation becomes easier and more cost-effective, new challenges in analysis emerge. What’s your top challenge in data analysis? Here are a few options—comment below if yours isn’t listed! #genomics #dataanalysis #biotech #lifesciences #research #datamanagement #challenges

Did you hear about our partnership with CS Genetics? CS Genetics is transforming single-cell genomics with our innovative SimpleCell? platform—offering unmatched simplicity and scalability. Be among the first to experience this game-changing technology! ?? Join the waitlist today at the link below to redefine your single-cell research. ?? https://bit.ly/47QHbH0 #singlecellgenomics #genomics #biotech #innovation #CSGenetics #research #lifesciences #scientificdiscovery

Friendly reminder, this is starting in one hour. Hope to see you there! #geomx #dataanalysis

Gain complete confidence in your data! Removing low-performing regions and genes during pre-processing is critical, and full transparency makes all the difference. Join us this Thursday 2pm EST/11am PST for the masterclass on area of illumination (AOI) and gene removal by Dr. Jessica Noll, an expert in spatial transcriptomic analysis. Discover how ROSALIND provides precise, tailored solutions for region & gene removal, adapting to your unique experimental design. Tag a colleague below who might be interested in spatial transcriptomic analysis. Sign up below https://bit.ly/3zl9VLt #DataTransparency #Genomics #ScientificInnovation #nanostring #spatialtranscriptomics #geomx