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Have you seen the new Stemformatics.org integrated transcriptome atlases for blood cells? stemformatics.org/atlas/bloo…
#DataScience #RNA #Blood #CellClassification #GeneExpression
Stemformatics retweeted
Will be speaking on single-cell analysis of stem cell reprogramming!
Join us for the next National Stem Cell Conversations on Wed 3rd November 2021 at 11am AEDT featuring A/Prof Jess Mar @jessicacmar and Dr John F. Ouyang @imouyang discussing “Computational Methods in Stem Cell Research”. @StemCellsAus
Stemformatics retweeted
Thank you @mincle @Stemformatics @jarnychoi Our multi-disciplinary team of research data specialists throughly enjoyed working with you and we are thrilled to see the new portal! We look forward to more opportunities in the future! @MDAP_Unimelb – at Melbourne, Victoria
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Stemformatics retweeted
Always love talking about @ExpressionAtlas
The final invited speaker of the day is Irene Papatheodorou @irenepapatheodo from @emblebi. Her talk is about the Single Cell Expression Atlas eci.co.uk/gxa which covers many species and biological conditions. #HIBIT2021
Stemformatics retweeted
Our perspective piece on the @humancellatlas
'A roadmap for the Human Developmental Cell Atlas'
is out now, *open-access*: nature.com/articles/s41586-0….
A learning curve! Provided me with much needed space to learn from leaders in this field and think on the bigger picture
Stemformatics retweeted
Excited to share that human Dendritic Cell atlas has been revealed by the updated version of @Stemformatics .
It's coming from the first year of my PhD research.
Check it out!
Stemformatics retweeted
We're hiring! Do you have a PhD or equivalent experience in a #dataIntensive #research field in the #Humanities and #SocialSciences? Then join the most amazing #interdisciplinary and #collaborative team of academics (not biased at all😜) Find out more: go.unimelb.edu.au/4eyi
Stemformatics was developed for collaborative communities, initially for @StemCellsAus and now with @Synnate1
so we welcome suggestions and feedback - contact us on the site, or via @jarnychoi or @mincle
Find out how similar your data is to the curated samples in the blood, myeloid or DC atlas (we use capybara, biorxiv.org/content/10.1101/…)
Use the curated bulk data to annotate immune cells in your single cell datasets - easy to follow vignettes on the stemformatics.org site
subset experimental categories to reveal reproducible expression patterns - like IL6 production by macrophages, but not some dendritic cell subsets, in response to gram-negative bacteria
You can explore gene expression across the hundreds of samples that contribute to our curated atlas collections stemformatics.org
We've built collections of transcriptome data from whole blood to tissue myeloid biology or dendritic cell subsets
We updated our data explorer with help from @MDAP_Unimelb - interactive categories, quickly get to the details of our curated metadata.
You can find tissues where your gene of interest is most commonly observed stemformatics.org











