Our team are delighted to join Parse Biosciences!!

By combining Parse's scalable combinatorial barcode technology with Biomage team's expertise in cloud-based data analytics, we're certain that there's an exciting future ahead for #singlecell #bioinformatics :)

Very proud to see #Cellenics open source tool and our team member German contribute to this ground-breaking pre-print article. A pleasure to work with Kevin & Quinn.

Read more about it in our featured blog post:
biomage.net/blog/periodont…

Congrats to all involved!

'From novice to expert: The ultimate single-cell RNA-Seq analysis course'
Dive deep into the world of bioinformatics without the coding hassle! Unlock the secrets of single cell data with our course.
Read more: biomage.net/blog/cellenics…
#scRNASeq #singlecell #Bioinformatics

Discover the secrets of single cell RNA-seq data analysis in our latest blog post about our online course!
✅Tailored for biologists
✅Dive into data without coding using Cellenics®
✅Videos, PDFs & 1-2-1 support
Read more: biomage.net/blog/cellenics…
#scRNASeq #singlecell #Cellenics

Get ready #Cellenics learners! We've just released TWO new lessons on exploring #scRNAseq data!
Part 1: Unravel UMAP & t-SNE for effective visualization.
Part 2: clustering and resolution selection.
Start learning today: courses.biomage.net
#Bioinformatics #DataScience

Are you interested in an online course that will equip you with the knowledge and skills needed to analyze single cell RNA-seq data using a free web-based tool?

More details here: courses.biomage.net

Start learning with us today!

We need your input to expand the Cellenics repository of scRNA-seq datasets! This repository allows you to easily explore public sc data (and it's free for academia).

What scRNA-seq datasets do you want to see added to the repository?

Tell us the GEO (or other) link!

Remember that we have a blog post, where we take you through some of the key publicly available scRNA-seq resources and show you how to start searching for scRNA-seq public data!

Read it here: bit.ly/41ZQHmT

#singlecell #scRNAseq

Researchers identify and annotate hub genes and their biological functions in acute ischemic #stroke and lung #adenocarcinoma .
bit.ly/3oLnZIO

CCNA2, CCNB1, CDKN2A, and CDK1 were highly expressed in AIS and LUAD tissue samples compared to controls.

#singlecell

Join the user community for Cellenics® at bit.ly/3BJZMVI!

Gain support for using Cellenics®, report bugs, request new features, and discuss anything related to #scRNAseq with other scientists!

Log in using your usual Cellenics® credentials.
#transcriptomics #singlecell

Researchers used #scRNAseq to analyse physiologically normal GI tract and metaplastic conditions!
bit.ly/3MRjfJr

They suggest that intestinal metaplasia in the esophagus and stomach can be considered molecularly similar entities in adjacent organs.

#singlecell

A new blog post is out!

Discover why single-cell atlases matter and what atlases are out there!

Read here: bit.ly/3MVMJGq

#singlecell #scRNAseq

Researchers investigate the transcriptomic landscape of triple-negative breast cancer and the relationship between T cells and clinical prognosis.
bit.ly/3oLIPaY

OPTN, TMEM176A, PKM and HES1 deserve attention as prognostic markers in this cancer.

#singlecell #scRNAseq

Assessment of gastric signet ring cell carcinoma using #scRNAseq !
go.nature.com/3MMTJVT

GSRC exhibits unique cytological and immune microenvironment characteristics. For instance, signet ring cell carcinoma cells are enriched in oestrogen signalling pathways.

#singlecell

Defined basophil differentiation trajectory in mice!
go.nature.com/3oIVCuN

Additionally, researchers identified pre-basophils located between pre-basophil and mast cell progenitors and mature basophils during basophil differentiation.

#singlecell #scRNAseq

Researchers explore cell-cell communication in normal brain and neurodegenerative disease by integrating #scRNAseq and #snRNAseq datasets.
bit.ly/43GnNt7

For Alzheimer's disease, disease-specific ligand–receptor pairs, such as SEMA4A-NRP1, were identified.

#singlecell

Integrated short- and long-read #scRNAseq analysis of murine haematopoietic stem and progenitor cells.
go.nature.com/3MZ6Ep1

The analysis revealed that many genes, including key regulators of #haematopoiesis , are expressed as multiple isoforms.

#singlecell #scRNAseq

Cellenics® is an open-source analytics tool that allows you to gain insight into #scRNAseq data!

Discover how we can provide you with a customized end-to-end solution for single-cell RNA sequencing data analysis here: bit.ly/3WCI3ta

#singlecell