James McInerney
@jomcinerney.bsky.social
3.8K followers 6.1K following 210 posts
Writing a book about horizontal gene transfer and non treelike evolution. Bioinformatics, Evolutionary Biology. Pangenomes. Chair in Evolutionary Biology. 🇮🇪 http://github.com/mol-evol/panGPT
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Reposted by James McInerney
jomcinerney.bsky.social
The job is still open. Get your application in ASAP. Or just pass it on to somebody that might be interested.
jomcinerney.bsky.social
OK, here it is. Come work with me at the University of Liverpool making ALL THE AI models from ALL THE prokaryote pangenome data. Heck, we will make models from ALL the pangenomes, even eukaryotes!!! (link below👇) 1/4
jomcinerney.bsky.social
That’s my bet. Remains to be proven though. Working on it.
jomcinerney.bsky.social
The job is still open. Get your application in ASAP. Or just pass it on to somebody that might be interested.
jomcinerney.bsky.social
OK, here it is. Come work with me at the University of Liverpool making ALL THE AI models from ALL THE prokaryote pangenome data. Heck, we will make models from ALL the pangenomes, even eukaryotes!!! (link below👇) 1/4
Reposted by James McInerney
hannahmrowland.bsky.social
🌍🦋 Across 6 continents, 21 sites & 15,000 paper moths, we joined a worldwide experiment led by @wlallen.bsky.social & Iliana Medina, showing how ecological context shapes the evolution of animal colouration.

Proud to be part of this global team effort: doi.org/10.1126/scie...
jomcinerney.bsky.social
Ooooh. Thats awesome news. Go you!!
jomcinerney.bsky.social
or even ALLLLMs (All LLMs). Acronyms don't have nearly enough Ls in them :)
jomcinerney.bsky.social
You don't have to be an expert in AI, but you need to be able to program and do some bioinformatics. You also need to be interested in Evolution. The job is hybrid, so we would need to meet regularly, but working from home or from the university are equally good. 3/4
jomcinerney.bsky.social
The focus is on Evolutionary history, but we might end up venturing into Synthetic biology as well - predicting genome constructs and that kind of thing. We will be using Transformers (like a ChatGPT for genomes..but a bit different). 2/4
jomcinerney.bsky.social
OK, here it is. Come work with me at the University of Liverpool making ALL THE AI models from ALL THE prokaryote pangenome data. Heck, we will make models from ALL the pangenomes, even eukaryotes!!! (link below👇) 1/4
jomcinerney.bsky.social
This is just amazing. I'm flabbergasted. I have lectured about Huntington's for years. I first heard about it as a student 30+ years ago. I never thought we would see progress like this. Science works!! www.bbc.co.uk/news/article...
Huntington's disease successfully treated for first time
One of the most devastating diseases finally has a treatment that can slow its progression and transform lives, tearful doctors tell BBC.
www.bbc.co.uk
Reposted by James McInerney
hyphaltip.bsky.social
Assistant Professor of Plant Pathology & Fungal Biology, UC Davis. 🍄🌱 recruit.ucdavis.edu/JPF07339 Deadline Dec 1, 2025. 👀 "Primary teaching responsibilities will be teaching Introductory Mycology, an upper-division lab class, and SAS 30, Mushroom, Molds & Society"
Assistant Professor of Plant Pathology
University of California, Davis is hiring. Apply now!
recruit.ucdavis.edu
Reposted by James McInerney
jomcinerney.bsky.social
📊 Interactive visualizations with Plotly:

Multivariate plots with outlier detection
Wright's ENC plots (ENC vs GC3s)
GC content comparisons
RSCU heatmaps
CAI distribution plots
Custom scatter plots of any metrics. 7/25
Reposted by James McInerney
jomcinerney.bsky.social
🎯 Multivariate analysis is where GCUA really shines! Perform Correspondence Analysis (CA) or Principal Component Analysis (PCA) on RSCU values or amino acid usage. Identify patterns and group genes by expression levels or evolutionary pressures. 6/25
Reposted by James McInerney
jomcinerney.bsky.social
📈 Key metrics GCUA calculates:

ENC (Effective Number of Codons) - measures codon bias strength
CAI (Codon Adaptation Index) - gene expression optimization
Fop (Frequency of Optimal Codons) - adaptation to preferred codons
SCUO (Synonymous Codon Usage Order) - information theory approach 5/25
Reposted by James McInerney
jomcinerney.bsky.social
💾 Getting started is simple: Load your FASTA file of coding sequences and GCUA automatically calculates codon frequencies, RSCU values (Relative Synonymous Codon Usage), amino acid composition, and base composition statistics. 4/25
Reposted by James McInerney
jomcinerney.bsky.social
🔬 GCUA supports ALL major genetic codes! From the standard universal code to vertebrate mitochondrial, yeast mitochondrial, bacterial/archaeal, and 30+ specialized codes. Perfect for comparative genomics across domains of life. 3/25
Reposted by James McInerney
jomcinerney.bsky.social
What is codon usage analysis? Different organisms (and even genes within organisms) prefer certain codons over others for the same amino acid. This "codon bias" reveals insights about gene expression, evolution, and optimal protein production strategies. 2/25
Reposted by James McInerney
martinsteinegger.bsky.social
MMseqs2-GPU sets new standards in single query search speed, allows near instant search of big databases, scales to multiple GPUs and is fast beyond VRAM. It enables ColabFold MSA generation in seconds and sub-second Foldseek search against AFDB50. 1/n
📄 www.nature.com/articles/s41...
💿 mmseqs.com
GPU-accelerated homology search with MMseqs2 - Nature Methods
Graphics processing unit-accelerated MMseqs2 offers tremendous speedups for homology retrieval from metagenomic databases, query-centered multiple sequence alignment generation for structure predictio...
www.nature.com