Gareth Difford 🇳🇴🇿🇦🇬🇧

409 posts

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Gareth Difford 🇳🇴🇿🇦🇬🇧

Gareth Difford 🇳🇴🇿🇦🇬🇧

@DiffordGareth

NMBU TenureTrack in phenomics leading the PhenotypeForge. Focused on aquaculture & livestock, breeding & genetics 🐟🐑🐄. Fascinated with nature.Views my own.

Ås, Norway Katılım Şubat 2018
426 Takip Edilen347 Takipçiler
Gareth Difford 🇳🇴🇿🇦🇬🇧 retweetledi
GEroNIMO (Epi)Genome enabled monogastric breeding
📢 Training on “Genome & Epigenome Enabled Breeding in Practice” 🗓️ 3–4 March 2026 📍Wageningen Campus + online 👥 Only 40 spots (priority on-site) Perfect for animal breeding practitioners, PhD students, postdocs & researchers! For more geronimo-h2020.eu/finaltraining
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Holobiont/Hologenome
Holobiont/Hologenome@Hologenomes·
Bring on the bots! 🖥️ HoloSimR allows the user to explore the effect of the microbiota on the phenotypic response to selection and the effects of the environment, host genetics and symbiosis between microbial species on the composition of the microbiota. doi.org/10.1093/jas/sk…
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Genetics Society of America
Genetics Society of America@GeneticsGSA·
In #G3journal, @HelleBaalsrud et al. show massive genomic rearrangements and low conservation in how Mucor circinelloides fungi strains regulate genes under calcium stress, suggesting why they produce oils & pigments differently. buff.ly/viA5rIy
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TasteAtlas
TasteAtlas@TasteAtlas·
Wooden Barrel Tapping 📍Munich, Germany 🇩🇪 German Beers: tasteatlas.com/best-rated-bee… In Bavaria, beer is often served straight from traditional wooden barrels. The tapping of a fresh keg, called Anstich, is a celebrated moment in Munich’s beer halls, especially when it’s Augustiner, one of the city’s oldest breweries. Credits: @bierbruder
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Massimo
Massimo@Rainmaker1973·
Borgund Stave Church in Norway was built sometime between 1180 and 1250 AD. It's part of of a group of medieval churches almost only present in Scandinavia, built with wood only and without using a single nail [📹 archeojobs]
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Gareth Difford 🇳🇴🇿🇦🇬🇧
Privileged to welcome this year's in take of talented #EMABG students to the gorgeous @UniNMBU campus for the start of their masters in animal biodiversity & genomics 🧬🐏🐟🐄🐖🎓
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Farmer's Weekly
Farmer's Weekly@FarmersWeeklySA·
A new national record for a Savanna goat ram was set when Lot 13 was sold for R400 000 at the Royal Genetics 2nd Production Sale. The ram was sold by Maize Valley Boerbok ,Kalahari Red and Savanna Stud to Lennon Nkosi from Mbombela, Mpumalanga: bit.ly/43KftKp
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NO CONTEXT HUMANS
NO CONTEXT HUMANS@HumansNoContext·
This has to be the most chaotic thing I’ve ever seen.
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QGG AU
QGG AU@QGG_AU·
📣 Training course in computational genetics for plant biologists, a co-organised course by QGG and @Recrop22157, a COST Action Network, 21-22 May 2025 🧬🌱 Read more and sign up here: recrop-cost.com/NewsAndActivit…
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Agustin Barria
Agustin Barria@Agustinopulus·
Come and join us at Benchmark genetics! We are looking for a senior geneticist. Great opportunities and challenges working with several aquaculture species worldwide. Even better? You can choose to work from Scotland, Norway or Chile. bmkgenetics.com/join-our-team-…
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Gábor Mészáros
Gábor Mészáros@GaborM_ABG·
Great news! The #EMABG this time as European Master in Animal #Biodiversity and #Genomics was funded again by the EACEA !!! The call for FULL scholarship applications is open until 28th Feb 2025! For details see emabg.eu Please share this message widely.
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louise chavarie
louise chavarie@louisechavarie·
We are looking for master, PhD, and postdoc individuals that would be interested by a project with fish, food-web and winter ecology project in Canada. Experience with telemetry and/or isotopes will be a great asset! If interested, DM me :)
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Neil Renic
Neil Renic@NC_Renic·
September: “I’m on top of things, looking forward to a quiet end to the year” November:
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Joachim Schork
Joachim Schork@JoachimSchork·
I recently made a very popular LinkedIn post about Simpson's Paradox, which resulted in an engaging conversation. Paul Julian made a great comment on the relationship between Mixed Effects Models and Simpson's Paradox that I wanted to share with you. He pointed out that when specified correctly, Mixed Effects Models can avoid being fooled by Simpson's Paradox. Unlike a naive linear model that analyzes all data at once, which might lead to misleading conclusions, mixed effects models separate fixed effects (consistent effects across all groups) and random effects (group-specific deviations from the overall trend). This allows the model to account for variations both within and between groups, leading to more accurate interpretations. In the plot below (generated from reproducible code – thanks, Paul!), you can see how different models compare: 🔹 Fixed Effect (black line): Captures the overall relationship, assuming it is the same across all groups. 🔹 Group Linear Model (dashed red line): Shows the trend within each subgroup, revealing how group-specific relationships can differ. 🔹 Naive Linear Model (gray line): Fails to account for subgroup differences, which can lead to misleading conclusions due to Simpson's Paradox. 🔹 Random Effect (blue line): Captures the variation between groups, allowing for group-specific deviations from the fixed effect. Here's the original post: linkedin.com/posts/joachim-… Important Notes: Mixed effects models offer a flexible framework to address Simpson's Paradox, effectively capturing both group-level and overall trends. However, they have limitations and alternative approaches should be considered. Mixed models, like any statistical tool, can be mis-specified if key variables are omitted. In certain cases, simpler models like OLS can handle group effects just as effectively, provided the predictors are correctly specified. For longitudinal or clustered data, marginal models like GEE or MMRM may be better suited when the goal is to estimate population-average effects, especially since mixed models focus on conditional, subject-specific effects. Additionally, Simpson’s Paradox requires careful causal understanding. Grouping variables can either be confounders or colliders, which influences the choice of model. An inappropriate adjustment can lead to incorrect conclusions, making it crucial to understand the causal structure before deciding whether to use a mixed model or a simpler approach. For regular tips on data science, statistics, Python, and R programming, check out my free email newsletter. More information: eepurl.com/gH6myT #R4DS #RStats #DataAnalytics #Statistical #database #DataVisualization
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Neil Renic
Neil Renic@NC_Renic·
The academic job market is a walk in the park The park:
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