Computational biologist at @MRC_HGU, @EdinUni_IGC, @EdinburghUni

Joined November 2015
4 Photos and videos
19 Aug 2025
Out today in PLOS Comp Biol: journals.plos.org/ploscompbi… Intrinsically disordered regions make variant prediction deceptively easy for benign changes but very hard for pathogenic ones. Our work shows why current tools struggle here, and why disorder-aware approaches are needed.
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Joe Marsh retweeted
Genetic variants🧬 can cause protein-coding mutations resulting in disease. What about in alternative isoforms? Excited to share my 1st first-author pre-print! Here we show many variants reside in tissue-specific isoforms, causing coding mutations. A🧵 1/ biorxiv.org/content/10.1101/…
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15 Apr 2025
New paper out in Genome Biology! 🎉 We lay out best-practice guidelines for releasing variant effect predictors, developed through the Atlas of Variant Effects Alliance @varianteffects Open, interpretable, and clinically useful VEPs are the goal. 📄 doi.org/10.1186/s13059-025-0…
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25 Feb 2025
New review out with @L_Geras @teichlab ! 🧬🔬 We explore how protein structure is improving variant effect prediction. Advances in structural modelling, including AlphaFold, are powering methods like AlphaMissense, PrimateAI-3D, and CPT-1, leading to better accuracy and interpretability. Read more: sciencedirect.com/science/ar…

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Joe Marsh retweeted
We are hiring a new postdoctoral bioinformatician! Come and work with us on multidisciplinary cancer genomics projects at the Institute of Genetics and Cancer in Edinburgh: elxw.fa.em3.oraclecloud.com/… institute-genetics-cancer.ed… semplelab.com
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Joe Marsh retweeted
Protein predictive scores which predict the likelihood that the protein is associated with a dominant-negative, gain-of-function or loss-of-function mechanism are displayed. Curated literature support for a molecular disease mechanism is also shown. @jmarshlab @BdonyiMihly
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Joe Marsh retweeted
Are you interested in AI and structural biology, genetics and the non-coding (aka “dark”) genome? A PhD studentship through the UKRI AI and biomedical innovation programme at @EdinburghUni @EdinUni_IGC has become available with myself and prof @jmarshlab
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23 Oct 2024
Excited to share our new paper led by PhD student Diego Chillón Pino with @BdonyiMihly and @DrColinSemple
Protein structural context of cancer mutations reveals molecular mechanisms and candidate driver genes dlvr.it/TFfB16
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23 Oct 2024
and thanks to @ListerInstitute whose support allowed me to recruit Diego!
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24 Aug 2024
Very happy to see this work is now published and we hope our model will be useful for people
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Joe Marsh retweeted
Structural Insight into the Function of Human Peptidyl Arginine Deiminase 6 biorxiv.org/cgi/content/shor… #bioRxiv

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