Jonathan Alles

🚀 Scanpy x ReadStore: Streamline Single-Cell RNA-Seq Analysis! 🧬 Managing single-cell RNA-Seq datasets and metadata just got easier! In our latest case study, we showcase how ReadStore integrates seamlessly with the Python Scanpy package. youtu.be/loPTfDYohCg

👏 Introducing the ReadStore ProData Feature 👌 📫 You can now upload processed omics data relevant for downstream analysis, along with your datasets. lnkd.in/etfCjdxc #omics #NGS #datamanagement #singlecell #rnaseq #spatialtx

As an analyst working with scRNA-Seq data, I always missed having a simple database tool to easily organize raw NGS files and processed gene expression matrices 🗂.

🚀 Ready to streamline your NGS data management? Check out this week's tutorial on getting started with ReadStore and learn how to install and setup the app! youtu.be/wJ3Gl1pFko0 #NGS #Omics #Bioinformatics #ReadStore #Genomics #DataManagement #ScienceTech

🎉 The ReadStore Demo Is Now Live! 🎉 Explore ReadStore—your new tool for managing FASTQ files and NGS datasets 🧬! Ready to get started in just minutes on your PC or Linux server 🌐. Try it now! evo-byte.com/readstore-get-…

In this week's ReadStore tutorial 🎓 we will discuss the project and dataset management that helps your team to collaboratively handle NGS datasets along with experimental metadata 🙌. youtu.be/e3bQ2ZfPNmo

Learn how to manage FASTQ and NGS dataset using the ReadStore platform. New tutorials are available here youtube.com/playlist?list=…

👉 Tired of managing FASTQ files and NGS datasets manually? 🧐 Have a look at READSTORE, the lean data platform for you and your team to centrally manage FASTQ and NGS datasets 📁. lnkd.in/exM2Si3T

Explore new concepts for RNA-Seq cloud automation in this new case study 🔍. Part 2 discusses how to automate RNA-Seq data analysis using Docker and services like AWS Batch and Step Functions for a fully automated experience 🤖. youtube.com/watch?v=XOhk6e…

Explore new concepts for RNA-Seq cloud automation in this new case study 🔍. Part 1 investigates how to translate a simple RNA-Seq drug discovery processes into a relational database with a Streamlit UI enabling data management 🕹. youtube.com/watch?v=qBvYvb…

Structure first, analyze later linkedin.com/pulse/structur…

Interested in upgrading your research workflow with an efficient data organization and automated analysis 👇? youtube.com/watch?v=ViC7X3… #EVOBYTEDigitalBiology #Bioinformatics #Genomics #dataquality

I recently started EVOBYTE Digital Biology, which aims at enabling research teams to better manage, analyze and store their data. Have a look at evo-byte.com linkedin.com/company/evobyt…

3/5. Looking at cellular fractions, we observe that tails are indeed shorter than 200-250 nt already in the nucleus, which we interpret as the effect of a rapid step of nuclear deadenylation. Similar interpretation was reported in biorxiv.org/content/10.110…

2/5. However, if we label nascent RNA for a short time, we see a mode of poly(A) tail length peaking at ca. 150 nt. Also, some amazing work by others (doi.org/10.1016/j.molc…) estimated that mRNAs appear into the cytosol with variable tail lengths, also centered around ca. 150 nt

1/5. By looking at nascent RNA in different ways, we find that the length of poly(A) tails at synthesis has a broad distribution peaking at 200-250 nt, much longer than that at steady state. biorxiv.org/content/10.110…

5/5. This work was led jointly by amazing colleague in @N_Rajewsky lab @covalendbont, as it was for our previous work describing FLAM-seq, with the collaboration of talented master student Maddalena Pacelli. nature.com/articles/s4159…

Super excited to finally see novoSpaRc published! A wonderful collaboration with @mor_nitzan, @nirfriedman and @N_Rajewsky. We developed a computational framework that arranges single cells in space based on their transcriptomes nature.com/articles/s4158…

Whoa! Two papers from @BIMSB_MDC in the same issue of @naturemethods! @ILegnini & Jona developed an amazing method to measure polyA length! doi.org/10.1038/s41592… @preibischs and the crew just do microscopy magic! doi.org/10.1038/s41592…

The concept of liquid biopsy has revolutionized #oncology. A novel pipeline to detect CTCs using the @10xGenomics single cell gene expression assay demonstrates the advantages of genome-wide transcriptome profiling at scale to confidently detect CTCs. #Sec2" target="_blank" rel="nofollow noopener">nature.com/articles/s4159…