@pawjast You can use this link and it will start the MyBinder session with the copy in my gist automatically (patience may be needed): https://t.co/sicVYd1evH
@pawjast For modern Jupyter, you are looking for `%matplotlib ipympl`. See https://t.co/i0r5gkaR4X for more about that backend. Updated in https://t.co/9JkjrLZHNu that will work in sessions launched from https://t.co/rSBZYq26gT
@nooriefyi@jtpio You may be interested in https://t.co/NOhjlx2PYx . Example app: https://t.co/gMiSppJhxk The documentation goes through a step-by-step at https://t.co/hMBXBLNR8g
@bicknell_l@ppgardne There was an earlier mention that, at least for RNU4-2, it was this 'whole' exome approach not being whole. My impression from the statement at https://t.co/jHUuZad1Y1 was that it wasn't covered in the exome sequencing despite being in a conserved exon.
But finally to highlight that this region, despite being within a highly conserved exon is not covered in ‘whole’ exome sequencing (as it is a non-coding RNA). This is a clear example of the power of genome sequencing to uncover novel diagnoses for patients. 9/9
@jtpio The better launch link would be https://t.co/pAZnExEFxZ so tutorial presented. However, `/usr/share/dict/` is empty in launched session so that notebook fails to generate to generate a thousand more files in the notebook tree.
How does the human #ribosome machinery select an open reading frame on mRNA for translation? Check out our #cryoEM work @NatureSMB: https://t.co/GC2xgcMcez
Thanks to all involved - most of all first author @V_Petrychenko and our collaborators from the Rodnina lab @mpi_nat. 1/5
First structure of a H/ACA snoRNP acting in ribosome synthesis. In a great collaboration with the Hurt lab, we provide a detailed structural and biochemical view of the snR30 snoRNP guiding local 18S rRNA subdomain folding. 👇👇👇
We're thrilled to share an update about our continued collaboration with @developmentseed on the @NASA Visualization, Exploration and Data Analysis (VEDA) platform! See how we've made it easier for researchers to explore large geospatial datasets 🌍 https://t.co/KO7LWoefeK
🥳 Exciting news! You can now experiment with free-threaded Python! 🐍 This major change to CPython allows running multiple threads in parallel for better performance on modern CPUs. Check out Quansight Labs' blog to learn more and get started! 👀 https://t.co/Dw90Uu2Wxu #python
The Animation Lab is hiring! We're looking for a software developer for an exciting new project creating intuitive tools for molecular animation. Experience with Python req'd and Blender preferred. Please forward to any interested folks! https://t.co/Xck1B2lkkt
I am excited to share this story led by Yujing Cheng and Siwen Wang (not on X) in @CellCellPress which describes a new function for a small nucleolar RNA (snoRNA) in senescence and ribosome biogenesis. Read on for a brief 🧵1/
https://t.co/w42k4u5pox
Did you see the bridge RNA papers yesterday? Bacterial transposons promote programmable, RNA-guided DNA recombination.
Remarkably, we found that the recombinase was co-opted in archaea and eukaryotes for widspread RNA-guided RNA modification, an essential function in humans!
"In this first map of pseudouridine modifications for C. elegans, we find that they largely reside in coding sequences and that the number of genes with this modification increases with age."
It was a pleasure presenting at my first @Sca_DS.AI #SummerSchool! I spoke about #LLMs for #BioImageAnalysis, including best-practices for prompt-engineering, LLM fine-tuning, RAGs and benchmarking. 🔬💻🚀🔓
Slides #openaccess: https://t.co/BVxCqcUp3S
🎉 Great news for the #GIS and #Jupyter communities! The @ESA is funding a project by @QuantStack and @simula_research to bring collaborative editing to GIS workflows in JupyterLab. Let's explore new ways of working with geospatial data! 🚀 https://t.co/LGtjSVNHgo
Here is another fun one over on @py_cafe ☕️
Protein residue coloring in ipymolstar is now super fast with the latest PDBeMolstar version.
Makes for very responsive protein viewer apps!
And supports dark mode 😎