Michael Love
@mikelove.bsky.social
6.8K followers 1.6K following 520 posts
Genetics, bioinformatics, comp bio, statistics, data science, open source, open science!
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Reposted by Michael Love
Reposted by Michael Love
jorainer.bsky.social
Reminder 👇

Interested in improving our R tools for #MassSpectrometry data analysis and integrating them into Galaxy?

⏲️ 3 year position
📍 Bolzano, 🇮🇹

👉 apply if you like:

- #rstats SW development
- @bioconductor.bsky.social
- large-scale #metabolomics data analysis
- hiking ⛰️

🔗 bit.ly/46AMawx
Reposted by Michael Love
biorxiv-genomic.bsky.social
Taming the reference genome jungle: the refget sequence collection standard https://www.biorxiv.org/content/10.1101/2025.10.06.680641v1
Reposted by Michael Love
mydennis.bsky.social
Happy to share work spearheaded by former grad student Colin Shew testing shared duplicated cis regulatory elements (CREs) using an MPRA. While we find some high effect CREs, collectively paralog differences represent modest effects accounting for observed gene expression divergence.
biorxiv-genomic.bsky.social
Influence of cis-regulatory elements on regulatory divergence in human segmental duplications https://www.biorxiv.org/content/10.1101/2025.10.03.680410v1
Reposted by Michael Love
garius.bsky.social
If you ask someone today to name the builder of Hadrian's Wall, they would give you a funny look. But historical memory is odd, and right up to the 1800s we forgot who built it.

Until in 1840 John Hodgson, an obscure Northumbrian clergyman, published the LONGEST footnote in history... 1/22
long stretch of worked roman stone on Hadrian's Wall.
Reposted by Michael Love
Reposted by Michael Love
andganna.bsky.social
🧬💥 Do the genetics that make you develop a disease also help you survive it? Not much.

Our new study in Nature Genetics including 9 disease and 7 biobanks shows:

• Susceptibility variants ≠ survival
• PRSs for onset weak at predicting progression
• Lifespan PRS predicts survival better
Reposted by Michael Love
michaelbclark.bsky.social
🧪Happy to share our latest paper in Genome Biology.

We profiled #RNA isoforms from 31 neuropsychiatric risk genes in the human brain using long-read sequencing. Unannotated isoforms commonly made up a significant proportion of a gene's expression.

genomebiology.biomedcentral.com/articles/10....
Long-read sequencing reveals the RNA isoform repertoire of neuropsychiatric risk genes in human brain - Genome Biology
Background Neuropsychiatric disorders are highly complex conditions and the risk of developing a disorder has been tied to hundreds of genomic variants that alter the expression and/or RNA isoforms made by risk genes. However, how these genes contribute to disease risk and onset through altered expression and RNA splicing is not well understood. Results Combining our new bioinformatic pipeline IsoLamp with nanopore long-read amplicon sequencing, we deeply profile the RNA isoform repertoire of 31 high-confidence neuropsychiatric disorder risk genes in Human brain. We show most risk genes are more complex than previously reported, identifying 363 novel isoforms and 28 novel exons, including isoforms which alter protein domains, and genes such as ATG13 and GATAD2A where most expression was from previously undiscovered isoforms. The greatest isoform diversity is detected in the schizophrenia risk gene ITIH4. Mass spectrometry of brain protein isolates confirms translation of a novel exon skipping event in ITIH4, suggesting a new regulatory mechanism for this gene in the brain. Conclusions Our results emphasize the widespread presence of previously undetected RNA and protein isoforms in the human brain and provide an effective approach to address this knowledge gap. Uncovering the isoform repertoire of candidate neuropsychiatric risk genes will underpin future analyses of the functional impact these isoforms have on neuropsychiatric disorders, enabling the translation of genomic findings into a pathophysiological understanding of disease.
genomebiology.biomedcentral.com
Reposted by Michael Love
npr.org
NPR @npr.org · 7d
Today marks the first day in public media’s history without federal funding. And we’re not going anywhere.

Listeners like you keep our mission alive. Protect one of the last places where America comes together to hear itself.

Stand with us today. Donate at this link: n.pr/46wamAj
Reposted by Michael Love
tuckerdrob.bsky.social
Non-paywalled link to my commentary on @vw1234.bsky.social and colleagues new paper in @nature.com rdcu.be/eI2NG
Reposted by Michael Love
wkhuber.bsky.social
Am contributing to a collaborative dry-wet project proposal and everyone incl. myself thinks I should be writing about fancy algorithms. Instead, I spend all time on experimental design,power, what do we know or not, what do we aim to show? And on 2nd thought, that's probably OK for a statistician.
Reposted by Michael Love
wkhuber.bsky.social
Do you like theoretical biology, mathematical&conceptual modelling and want to apply yourself to cutting-edge research at all levels of biology, from molecules to ecosystems?

Come to EMBL! Scope includes physics-based models, emergence, statistics, ML/AI
embl.wd103.myworkdayjobs.com/en-US/EMBL/j...
Reposted by Michael Love
boghuma.bsky.social
It’s #MythBustingMonday.
Today’s myth: “Multiple vaccines at once will overload a child’s immune system.”
This idea is popular with anti-vaccine groups and also POTUS. But immunology, decades of research, and real-world data all say the same thing: it’s false. 🧵
Reposted by Michael Love
r-foundation.bsky.social
**Just 2 in-person tickets left, a wait list is available!**

📢 R Dev Day @ Australia
🏢 Monash University, Melbourne
🌐 Remote, Australia
📅 Fri 21 Nov

Registration deadline: Sun 16 Nov

pretix.eu/r-contributo...

Attend this free event to collaborate on contributions to #RStats.

#RDevDay #RSEng
R Dev Day @ Australia 2025
Fri, Nov. 21st, 2025
pretix.eu
Reposted by Michael Love
nmancuso.bsky.social
This is wild. Hotelling's 1930 unpublished work (later provided by Ore) detailing differential geometric approach to describe statistical distributions used population genetics as its first example application.

Perhaps not that surprising given his communications with Fisher, but still neat!
Reposted by Michael Love
wkhuber.bsky.social
Human organisations are like biological networks: there are enzymes, activators and repressors. The enzymes are the people who do stuff. Activating interactions motivate and inspire them. Repressing interactions create friction, bureaucracy, etc. Roles or processes that create friction tend ...

1/2
mikelove.bsky.social
in Positron, Ctrl-` (backtick) opens Terminal, is there something similar for Console?
Reposted by Michael Love
matsen.bsky.social
The final version of our transformer-based model of natural selection has come out in MBE. I hope some molecular evolution researchers find this interesting & useful as a way to express richer models of natural selection. doi.org/10.1093/mol... (short 🧵)
Reposted by Michael Love
jsantoyo.bsky.social
Predicting the structural impact of human alternative splicing. #AlternativeSplicing #GenomeBiology
genomebiology.biomedcentral.com/articles/10....