🧬 Gene expression profiling is indispensable for mapping cellular and molecular landscapes. Microarrays provide efficient, targeted analyses, while RNA-seq delivers deep, comprehensive transcriptomic insights. #GeneExpression #RNASeq #Microarrays #Transcriptomics #MolecularBiology #Genomics #PrecisionMedicine #Bioinformatics #CancerResearch #RareDiseases #NextGenSequencing #BiomedicalResearch #Omics #MolecularDiagnostics #LifeSciences #CRISPR #PGT #IVF #ART #NGS ⚕️

Unlock plant transcriptomics! 🌿 Join @OmicsLogic's 4-Day Workshop on Plant RNA-Seq Data Analysis with R. Learn to analyze nitrogen stress & tuberization workflows in potato. 🥔💻 🚀 Register: forms.gle/4bSsNJhZSLhVKsWG7 #Bioinformatics #RNASeq #PlantScience

Detect 75% more splice junctions from #SingleCell transcriptome analysis. Achieve full gene-body coverage with the Shasta® Total RNA-Seq Kit and say goodbye to the limitations of older end-counting technologies. See a head-to-head comparison: ow.ly/Gs9X50Ymb5N #RNAseq

🌱 Unlock plant transcriptomics! Join our 4-day live workshop on Plant RNA-Seq Data Analysis with R Programming to master end-to-end workflows for plant stress research. 🔗 Register: forms.gle/4bSsNJhZSLhVKsWG7 #Bioinformatics #RNASeq #PlantScience #RProgramming

I can't use it for RNAseq...

Loeys-Dietz syndrome 3 #Aortopathy Microfibril Denudation Marks Early Aortic Vulnerability in SMAD3 Variant Carriers: A Multigenerational Study @atvbahajournals 2026 ahajournals.org/doi/10.1161/… Thanks to our excellent surgeon collaborators led by Dr. Michael Chu @MichaelMwachu 🙏👍, we collected 7 LDS3 ascending aortas & assembled a large family with 57 SMAD3 variant carriers😎 Using molecular pathology & RNAseq, we identified a SMAD3-dependent transcriptional program for microfibrils. Microfibrils are the structural sheath for elastic lamina & the adhesive anchors b/w aortic smooth muscle cells and elastin fibers. LDS3 aortas lose microfibrils even at elastin-intact zones, creating a physical SMC-elastin separation, which is filled by glycosaminoglycans Does this mechanically soft GAG matrix contribute to the weakening of SMC mechanosensing and ultimately LDS vulnerability to #AorticDissection?🤓 More studies from Pickering lab @LHSCCanada @WesternU @SchulichMedDent are on the way!😆 Thanks for all your interest! This is likely the last regular X post before completing another paper revision👋

i genuinely hate techbros for ruining the reputation of my field i really really do. i hope the AI nightmare ends soon and all of those fuckwads go become venture capitalists or something and leave the actual scientists alone. let me do my lymphoma rnaseq and genomics. fuck off.

Many have noted: core limitation of single-cell rnaseq pert data, is the absence of information on what happens to any individual cell after pert. Thus, pert. signal is accessible at level of conditions not cells, and why all evals (and most tasks) are also at the level of bulks

I even got Rnaseq and many other advanced tests done it’s so obvious. I still haven’t been able to get a muscle biopsy tho or have mito analyzed in lab, as it’s not available but all the other stuff and symptoms it’s unbelievable how much damage & dysfunction

this is exactly what I wanted to ask @lpachter can we use this on TPM of bulk rnaseq? or is that not amenable to compositional approach

The cost-effective NEXTFLEX™ Cas9-gRNA Depletion Enzyme (HMR rRNA) lets you deplete your libraries at any dsDNA stage, after second-strand synthesis or post-ligation, while working with any RNA-seq library prep protocol. Click here ms.spr.ly/6018vZP1A #RNAseq #rRNAdepletion #NGS

6. These three (practical) metrics can be associated to mathematical axioms that a normalization method must satisfy. In our supplementary note, we prove that these axioms produce a unique normalization method for single-cell rnaseq data (PFlogPF), also known as the shifted CLR.

UltraMarathonRT® has peer-reviewed publications across 5 application areas on our website. Find the work most relevant to your research, from rare #transcriptprofiling to #mods mapping, #shortread or #longread #RNAseq; access key research within just one click! 🔗below!

🎉 Welcome Shijun Fang: our newest BigOmics Ambassador! 🧬 A PhD at Cardiff University researching cancer tumor genesis with #RNAseq and #proteomics, Shijun will help the community get the most out of Omics Playground ✨ #bigomicsambassador

🌱 Master Plant RNA-Seq! Join our 4-day live workshop (July 20–23) to analyze plant stress data using R programming, DESeq2, edgeR, and pathway enrichment. 🔗 Register: forms.gle/4bSsNJhZSLhVKsWG7 #Bioinformatics #RNASeq #PlantScience #RProgramming

Coming soon, I'll be happy to announce a number of online and in-person courses and workshops during the 2026-2027 academic year, sneak preview: RNAseq, snRNAseq, multiomics, and neurodegenerative diseases 🧠

🔬 Master transcriptomic data analysis! The OmicsLogic Transcriptomics Program covers NGS fundamentals, DESeq2, ML, and single-cell RNA-Seq (Seurat). 🔗 Register: forms.gle/Bz6HndM8pXyZvBvs9 #RNASeq #Bioinformatics #Transcriptomics

I’ve been pushing CLR / compositional data analysis for RNAseq and scRNAsew since at least ‘16/‘17 I learned about it from the microbiome literature, ofc