Daniel Seaton

460 posts

Daniel Seaton

Daniel Seaton

@DanielDSeaton

Research scientist in early stage drug discovery in Computational Biology dept. @gsk. Views expressed are my own.

Cambridge, England Katılım Haziran 2011
689 Takip Edilen393 Takipçiler
Daniel Seaton retweetledi
Serafim Batzoglou
Serafim Batzoglou@s_batzoglou·
An exciting new paper proteomics paper describes novel insights on protein-disease mechanisms by using @seer-based MS combined with genomic data on the Genes & Health cohort. From the abstract by Maik Peitzner, Claudia Langenberg and colleagues: "... we idenIfy >1,200 significant variant-protein associations (n=895 cis-protein quantitative trait loci (pQTL)), half of which are novel. [...] consolidate a potential role of 21 proteins in the pathology of 44 diseases: e.g., a novel role of high IGLV3-21 in the development of Grave’s 36 disease elucidating B-cell mediated autoimmunity."
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Daniel Seaton
Daniel Seaton@DanielDSeaton·
Are you a postgraduate student interested in protein modelling and drug discovery? We have an exciting opportunity to join our team at GSK for a 6-9 months internship, working on an ambitious cross-department research project. Apply before March 14th! gsk.wd5.myworkdayjobs.com/en-US/GSKCaree…
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Aleix Lafita
Aleix Lafita@alafitamasip·
Are students still using Twitter? Just in case: if you are a postgraduate student interested in protein modelling and drug discovery, we have an exciting opportunity to join our team at GSK for a 6-9 months internship. Apply here before March 14th: linkedin.com/jobs/view/4171…
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Nikhil Milind
Nikhil Milind@TheNikhilMilind·
For many traits there is a correlation between the number of duplications or loss-of-function (LoF) mutations someone carries, and their phenotype. Curiously, for most traits, these effects are aligned in the SAME direction. Why?
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Stegle Lab
Stegle Lab@StatGenomics·
We are looking for a postdoctoral researcher! Join our translational project aimed at exploring the processes that alter the epigenetic landscape of colorectal cancer cells and drive their metastasis. Become part of our group at @EMBL Apply here: embl.org/jobs/position/…
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Anna Cuomo
Anna Cuomo@AnnaSECuomo·
Very late posting this but I am so so excited to be presenting at #ASHG24 tomorrow morning bright and early! Join me at 8am tomorrow Wed Nov 6th at the "All the Single Cells" session  in Room 501, to discuss an exciting new resource of matched #singlecell RNA-seq and WGS data!
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Na Cai
Na Cai@caina89·
Quantgen friends: we are starting to accept applications for quantgen @GordonConf Feb 2025, and we’re now 1/3 full! We will make acceptances monthly, and prioritise those with abstracts, so pls submit yours early (you can edit it after submission)! grc.org/quantitative-g…
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Evangelia Petsalaki
Evangelia Petsalaki@e_petsalaki·
We are happy to present SELPHI2.0 which uses the latest kinase specificity maps (PSSMs) and several other functional genomics and structural features to predict kinase-substrate associations. biorxiv.org/content/10.110…
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Leo Zang
Leo Zang@LeoTZ03·
Genomics 2 Proteins portal: a resource and discovery tool for linking genetic screening outputs to protein sequences and structures | @naturemethods - Genomics 2 Proteins (G2P) portal, linking 20,076,998 genetic variants to 42,413 protein sequences and 77,923 structures (58,027 PDB structures and 19,896 AlphaFold structures) Portal: g2p.broadinstitute.org Link: nature.com/articles/s4159…
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David Ochoa
David Ochoa@d0choa·
Great to see our research "Genetic factors associated with reasons for clinical trial stoppage" finally out in Nature Genetics nature.com/articles/s4158…
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Andy Seaton
Andy Seaton@ASeatonSpatial·
New paper: inlabru: software for fitting latent Gaussian models with non-linear predictors Preprint now up on arxiv arxiv.org/abs/2407.00791 Inlabru extends the class of models that users can fit with INLA (1/n)
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Mo Lotfollahi
Mo Lotfollahi@mo_lotfollahi·
Our lab, in collaboration with partners from @genentech, @sanofi, @gsk, @pfizer, @sangerinstitute, and @emblebi, has been awarded £2M by @OpenTargets to generate novel perturbation data across multiple disease models and develop large generative models to facilitate the discovery of drug targets. As part of the first wave of hires, I am looking for candidates for two machine learning-focused positions at different levels (Predoc, Postdoc) and one computational biologist. The positions available are: 1. Machine Learning Scientist (Phd required, Senior Postdoc): tinyurl.com/mph5k538 2. Machine Learning Scientist (Postdoc, Predoc (Msc)): tinyurl.com/y56ct92n 3. Computational Biologist and Applied ML (Postdoc): tinyurl.com/468n53rz deadline 3.07.24
Open Targets@OpenTargets

🔍@mo_lotfollahi is recruiting! ➡️Senior bioinformatician ➡️Senior Data Scientist (Machine Learning) ➡️Principal Data Scientist (Machine Learning)

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Hilary Martin
Hilary Martin@hilsomartin·
Sorry to be missing #eshg2024. From my group, @mahmoudkokomusa will be presenting a poster on sex differences in autism at 3.45pm today, and @DMalawsky is talking at 11.30am on Tuesday in the brain phenotypes session about longitudinal genetic effects on cognition. Do go!
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Aleksejs Sazonovs
Aleksejs Sazonovs@alehins·
I’m getting this @ksamocha quote printed on an A0 poster
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Tobi Alegbe
Tobi Alegbe@Tobioinformatic·
At #ESHG2024 in Berlin? Check out my talk at 7pm!
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Pedro Beltrao
Pedro Beltrao@pedrobeltrao·
I will be at #eshg2024 for the first time this year. I will be around Monday and Tuesday and looking forward to getting to know more scientists in this field.
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Pedro Beltrao
Pedro Beltrao@pedrobeltrao·
New preprint: sequence-based models are very good at predicting human protein missense variants with an impact on function. Here we use AlphaFold2 models to infer mechanisms of effect of deleterious variants (stability, pockets and protein interfaces) biorxiv.org/content/10.110…
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