Dissociation Between Metabolic Improvements and Mitochondrial Transcriptional Changes Following Exercise Training in Women with Polycystic Ovary Syndrome
https://t.co/gEbrO8K94s @albut_@_AliAltintas_
New name. New place. Same great training opportunities from Babraham Bioinformatics at The Babraham Institute @BabrahamUK - virtually around the UK and rest of the world.
Come and find us! https://t.co/zCI28o6gHI
and on Blue Sky, Facebook and LinkedIn!
🚨 Deadline: Jan 11, Sunday
📢 Don’t miss your chance to join the PhD course “#Bioinformatics Analysis of #Gene#Expression Data from Bulk #RNAseq” at University of Copenhagen!
📅 26 Jan – 12 Feb 2026
👉 Apply here: https://t.co/n9lYPD6tuc
🔔 Excited to teach the PhD course “Bioinformatics Analysis of Gene Expression Data from Bulk RNA-seq” at University of Copenhagen!
📅 26 Jan – 12 Feb 2026
👍 Bring your own data (or use a public one) and learn the full RNA-seq pipeline:
👉 Apply: https://t.co/n9lYPD6tuc
solid foundation in statistics is even more important in the age of AI.
This interactive app explaining statistic concepts is great
https://t.co/dO0YSMF9hf
😱OMG: "A subtle bug in OpenReview’s API briefly exposed one of the most sensitive parts of the research process, REVIEWER ANONYMITY. Researchers discovered they could query the identities of their reviewers"
https://t.co/eTMGPOxDNz
You will learn:
✔ QC & alignment
✔ Differential expression
✔ Pathway enrichment
✔ Hands-on with Galaxy, UCloud & R
✅ Free for Danish PhD students
🧑🏫 Together with Stefan E. Seemann, Nadezhda T. Doncheva & Jan Gorodkin.
#Bioinformatics#RNAseq#PhDCourses#DataAnalysis
🔔 Excited to teach the PhD course “Bioinformatics Analysis of Gene Expression Data from Bulk RNA-seq” at University of Copenhagen!
📅 26 Jan – 12 Feb 2026
👍 Bring your own data (or use a public one) and learn the full RNA-seq pipeline:
👉 Apply: https://t.co/n9lYPD6tuc
🗨️ Just published in @NatureBiotech: Our CellWhisperer AI enables chat-based analysis of single-cell sequencing data. You can talk to your cells & figure out the biology without writing any computer code. Paper link and annotated walkthrough in the thread below (1/11)
And finally, huge congrats, @bahti_yil! 👏 Thanks for the opportunity and for leading such an impressive piece of work. Proud to be part of this global effort with you! 🌍🧬
🌍 Excited to be part of this global effort! 🦠
Microbial and metabolic diversity was mapped across 51 vivaria & 12 wild colonies, revealing striking functional convergence despite taxonomic divergence.
🔗 https://t.co/8E8iBShkMk
🚨 New paper out in Cell Host & Microbe!
We built the first global atlas of mouse microbiome diversity across 51 vivaria and 12 wild colonies 🌍🐭
https://t.co/onoPv2OZsd
🚨 Dealing with sparse, noisy single-cell DNA methylation data (scBS-seq)? Check out #scDMV.
It uses a zero-one inflated beta mixture model to tackle the excess of 0s/1s and low coverage, boosting accuracy in identifying differentially methylated regions (DMRs).
Genotype-phenotype data from over 450,000 individuals was analysed to discover 205 genomic loci where an allele associated with increased adiposity was associated with a lower cardiometabolic disease risk to an individual https://t.co/IRvwKQtrwE
The Zierath/Krook/Wallberg lab celebrated our current & former fellows and students at Nobel Forum sept 1 with a fantastic symposium on insulin action & metabolism. Grateful for all the trainees who traveled far & near to be with us to focus on science, inclusion, and innovation!
All you need is:
1) Transcriptome (equivalent of transcriptome #FASTA file)
2) Gene annotations (equivalent of #GTF/#GFF file)
3) RNAseq reads (your #FASTQ file)
#BgeeCall will handle the rest and will let you know if a gene is present or absent!
❓ How do you know if a gene is expressed or not in a certain tissue/organ?
👉 If you are interested in animals, #Bgee database is the first place to go. 52 species, several tissues/organs...
https://t.co/N4EpziKllp
❓ And what if your species is not present in this database? What do you do then?
❓ Isn't it enough to decide on an arbitrary cutoff (e.g. TPM < 1) for expression?
👉 Actually, you can do better than that. How? #BgeeCall#R package:
https://t.co/A0RUrPPmL2