Peter
banner
biotechpedro.bsky.social
Peter
@biotechpedro.bsky.social
PhD student at Fraticelli lab @irbbarcelona.org‬

I try to convert coffee into code and ideas for uncovering biological mysteries.

Some interests: single-cell, lineage tracing, computational biology, cellular variability, premalignancy, resistance...
IMO the contributions section of scientific articles should be standardized:

credit.niso.org
November 22, 2025 at 4:28 PM
Reposted by Peter
Many people hours, calls and messages later: OSTA is now “in (pre)print”, though the real thing lives at bioconductor.org/books/OSTA.

Check it out, get in touch. We welcome any feedback, suggestions, wishes (& contributions).

It’s been a joy working with you @estellayixingdong.bsky.social!
November 21, 2025 at 5:31 PM
This seems AMAZING: CRIPSR-All!
A preprint out today from Arc Innovation Investigator Theo Roth, Austin Hartman, Oliver Takacsi-Nagy, and colleagues introduces CRISPR All–a unified programming language for editing human cells across all major genetic perturbation types at once.
November 22, 2025 at 11:06 AM
Reposted by Peter
We are looking for a postdoc to join our team! If you're interested in translating a cutting edge genomics technology (www.nature.com/articles/s41...) to real-life applications in hematology, this is for you. We offer a unique working environment ON THE BEACH: recruitment.crg.eu/content/jobs...
November 20, 2025 at 9:36 AM
Reposted by Peter
Would you like to model and analyze sample-specific regulatory networks? Check out our latest BioRxiv pre-print in which we present 𝐒𝐢𝐒𝐚𝐍𝐀, a command line workflow that makes modeling and analysis of single-sample networks really easy, transparent, and reproducible 🪄: www.biorxiv.org/content/10.1...
November 13, 2025 at 9:24 AM
Reposted by Peter
Are you using any of our factor models, such as MOFA? 🛵
You might’ve found it challenging to tailor them to your specific use cases - not anymore!

Introducing MOFA-FLEX: a flexible, modular factor analysis framework designed for customizable modeling across diverse multi-omics data scenarios. 1/n
November 7, 2025 at 10:29 AM
Reposted by Peter
𝗖𝗮𝗻 𝗰𝗲𝗹𝗹𝘀 𝗲𝘃𝗲𝗿 𝘁𝗿𝘂𝗹𝘆 𝗿𝗲𝗰𝗼𝘃𝗲𝗿 𝗳𝗿𝗼𝗺 𝗗𝗡𝗔 𝗱𝗮𝗺𝗮𝗴𝗲?Excited to share our new study “Repair of DNA double-strand breaks leaves heritable impairment to genome function”, revealing DNA repair’s hidden cost, out now @science.org tinyurl.com/5n6zw3ye. Led by @sbantele.bsky.social and Jiri Lukas.🧵👇1/n
Repair of DNA double-strand breaks leaves heritable impairment to genome function
Upon DNA breakage, a genomic locus undergoes alterations in three-dimensional chromatin architecture to facilitate signaling and repair. Although cells possess mechanisms to repair damaged DNA, it is ...
tinyurl.com
November 6, 2025 at 11:05 PM
Reposted by Peter
Big New! @elife.bsky.social @genetics-gsa.bsky.social #G3journal are joining editorial forces with @reviewcommons.org - bringing not just field-specific expertise to the process but also making #PreprintPeerReview a truly collaborative effort!🎉👏

Read more to find out👇
www.embo.org/features/pub...
Publishers join the Review Commons peer review process  – Features – EMBO
Editors from eLife, Genetics, G3 and Journal of Cell Biology will contribute to the EMBO preprint peer review platform
www.embo.org
November 3, 2025 at 9:33 AM
Reposted by Peter
1/ @reviewcommons.org, @embo.org's preprint peer review platform, is taking an important step forward. Multiple publishers, including eLife, are now jointly running the peer-review process on behalf of the platform.

🔗 buff.ly/Rm1XotK
October 30, 2025 at 2:45 PM
Reposted by Peter
Training other methods on the same data may not be feasible due to compute limitations. Training on other much smaller data won’t be the same task. Training your implementation or with your compute limitations is not representative of the original method.
October 26, 2025 at 10:51 PM
Reposted by Peter
Academics also can be driven and intelligent, but the driver is often personal curiosity and understanding, with a fair bit of showing off (academic egos are something else; I am self aware enough to realise I am not immune to this though I do try to tame it).
October 26, 2025 at 7:48 AM
Reposted by Peter
Thread on the intellectual landscape around LLMs 👇

I love progress and am happy to see investment in it—but wonder if the amounts currently going into genAI are a missed opportunity to invest in more mundane "data plumbing" and digitalisation. Which could eventually have higher societal benefits.
I am genuinely impressed by large language models - they can absorb disparate components of text into some consolidated view, they can produce extremely good language and - with the right model - translate pretty well between languages and they are an excellent text based UI for humans to use. But..
October 26, 2025 at 8:30 AM
Reposted by Peter
Proud of the latest edition of my free intro biostats book.

gitrepo: github.com/ybrandvain/b...
book: ybrandvain.github.io/biostats/

Not complete but at a good point to take a break, and I think its quite usable

dm me with comments , ideas etc
Applied Biostatistics
ybrandvain.github.io
October 24, 2025 at 2:33 PM
Reposted by Peter
Hey Yaniv Brandvain is not on Bluesky but his most recent biostats ebook is live ybrandvain.github.io/biostats/. His stats resources have been so helpful to me as I develop my own stats course, so check it out. Github repo here: github.com/ybrandvain/b...
Applied Biostatistics
ybrandvain.github.io
October 24, 2025 at 2:47 PM
Reposted by Peter
Are professors who don’t teach or mentor, just academic executives who raise money and market other people’s work? When did teaching stop being an important part of this job?
October 25, 2025 at 5:26 AM
Reposted by Peter
How can we scale subcellular spatial proteomics across many experiments and conditions?

Our new paper presents a genetic algorithm and evaluation framework that optimizes bait subsets for proximity proteomics platforms like BioID enabling context-specific proteome mapping.
October 23, 2025 at 1:40 PM
Reposted by Peter
Discovery and engineering of retrons for precise genome editing - @texasscience.bsky.social go.nature.com/4nkr7DE
Discovery and engineering of retrons for precise genome editing - Nature Biotechnology
A metagenomic screen identifies retron reverse transcriptases for precise genome-editing applications.
go.nature.com
October 23, 2025 at 2:59 PM
Reposted by Peter
Correlation isn’t causation, as the mantra goes—but statistical noise in correlational data can reveal causal information. When X and Y are causally linked, their noise tends to be asymmetric & this can guide #CausalInference. Check out our 📃👇 doi.org/10.1111/nous... #philsky #philsci #StatsSky #HPS
October 21, 2025 at 9:20 AM
Reposted by Peter
New “discrete state” model of hematopoiesis published in Nature Immunology. rdcu.be/eL8oO
We propose a hierarchical model of hematopoiesis where stable “discrete states” serve as key regulatory nodes.
A unified multimodal single-cell framework reveals a discrete state model of hematopoiesis in mice
Nature Immunology - Grimes and colleagues integrate multiomic features to create a framework that allows the isolation of discrete cell states across hematopoiesis and exploit the underlying gene...
rdcu.be
October 22, 2025 at 1:10 PM
Reposted by Peter
🧠 The Lipid #Brain Atlas is out now! If you think #lipids are boring and membranes are all the same, prepare to be surprised. Led by @lucafusarbassini.bsky.social with Giovanni D'Angelo's lab, we mapped membrane lipids in the mouse brain at high resolution.
www.biorxiv.org/cgi/content/...
October 16, 2025 at 6:23 AM
Reposted by Peter
BIG ANNOUNCEMENT📣: I haven’t been this excited to be part of something new in 15 years… Thrilled to reveal the passion project I’ve been working on for the past year and a half!🙀🥳 (thread 👇)
October 15, 2025 at 12:22 PM