ROSALIND

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

We’re thrilled to announce that ROSALIND has partnered with CS Genetics to democratize single-cell genomics! 🎉 By combining CS Genetics’ innovative SimpleCell™ platform with ROSALIND’s powerful, no-code data analysis, this collaboration will make single-cell research more accessible, faster, and cost-effective. Together, we’re enabling biopharma and academic teams to scale up their research and drive breakthrough discoveries. This is a big step forward for the life sciences community, empowering scientists to push the boundaries of knowledge and accelerate their time to insight. Read the full press release below https://lnkd.in/eCWHaBBK #singlecell #research #biopharma #innovation #partnership

Did you miss our GeoMx masterclass session on Quality control? Check out the insights and replay from our latest masterclass on quality control in GeoMx data analysis. 🌟 Quality control is crucial for ensuring the reliability of spatial transcriptomics. Rosalind provides transparency, flexibility, and ease, helping researchers unlock deeper insights from their data. https://bit.ly/4e7sMbJ #geomx #nanostring #spatialtranscriptomics #qualitycontrol

GeoMx Data Analysis Masterclass on Quality Control StatIstics is here! In this session, Dr. Jessica Noll will discuss the key quality control metrics for GeoMx data analysis and their significance. She will also demonstrate how to use these metrics to assess the quality of your AOIs, along with recommended best practices. Join her on Thursday, 2pm EST/11am PT, register below https://bit.ly/4el9T55 #nanostring #spatialtranscriptomics #geomx #datamadehuman