Azura Biosciences

Bioinformatics counseling company helping R&D advance with cutting-edge data analysis. Bridging genomics & insights for innovative research. 🔬🚀

[Eric Topol @EricTopol]

New @Nature
Insightful perspective on large language of life models for molecular and cell biology
https://t.co/xKBsPHacqR
@BoWang87 @fabian_theis @HAOTIANCUI1 and colleagues

[Azura Biosciences @AzuraBio]

8/ 🔬 Multi-omic integration isn’t easy
but with tools like MOFA (and the right mindset), it becomes manageable and incredibly insightful.
Have you used MOFA in your work? What tips or challenges would you add?

👉 https://t.co/9vdgfsuG5f

#MOFA #MultiOmics #Bioinformatics

[Azura Biosciences @AzuraBio]

1/ 🔍 Working with multi-omics data (genomics, transcriptomics, proteomics) and feeling overwhelmed?

🧘 Don’t panic MOFA (Multi-Omics Factor Analysis) can help integrate your data and uncover hidden patterns.
👇 Tips & common pitfalls:

[Azura Biosciences @AzuraBio]

7/ ✨ Bonus Tips

• Visualize latent factors with UMAP or PCA
• Cluster latent space to stratify samples
• Use survival analysis (KM/Cox) to find prognostic markers
• Enrich top features to reveal pathways and drivers

[Azura Biosciences @AzuraBio]

📝 Note: These analyses were done on Visium data courtesy of 10x Genomics, but the approaches apply to other grid-based spatial technologies, like Visium HD.

#SpatialTranscriptomics #SingleCell #Bioinformatics #Visium #10xGenomics #CancerResearch #SpatialOmics #SpatialBiology

[Azura Biosciences @AzuraBio]

How to squeeze your spatial transcriptomics data? 🍋
Some scientists claim spatial transcriptomics (ST) will replace single-cell technologies. Others say it's just a pricier single-cell with a nice visual output. So...who's right?

A thread on #SpatialTranscriptomics ⬇️

[Azura Biosciences @AzuraBio]

💡 Bottom line:
If you've got spatial data, use the space!
Classic single-cell tools are a great start, but ST's real power comes from its spatial context. Don't waste it.

Want us to cover other platforms or methods?
Drop your thoughts in the comments — let's make lemonade! 🍋

[Azura Biosciences @AzuraBio]

@10xGenomics @sergiomarco96 @MatsNilssonLab Great work! 🚀 This will be incredibly useful for those passionate about spatial transcriptomics like us. Excited to dive into the findings! 🔬👏
#SpatialBiology #Transcriptomics

[10x Genomics @10xGenomics]

Congratulations to @sergiomarco96, @MatsNilssonLab & their team on a new #NatureMethods publication featuring the Xenium platform! Read how Xenium spatial stacked up against 8 other systems & get independently validated best practices & recommendations: https://t.co/tbJ4HBun4h

[antisense. @razoralign]

CytoSimplex models the space of lineage differentiation as a simplex with vertices representing potential terminal fates. A simplex extends the idea of a triangle into any dimension; where a point is 0D, a line segment is 1D, a triangle is 2D, and a tetrahedron is 3D simplex.

[Azura Biosciences @AzuraBio]

📊 Precision matters in #SurvivalAnalysis! Ensuring rigorous Cox model application requires assessing interactions, checking assumptions, handling missing data, and accounting for competing risks.What’s your go-to best practice? https://t.co/vEBSG1eXWp