serhat al, phd

Associate professor at Erciyes University, molecular microbiology, microbe the wise, go player⚪️⚫️, max richter fan...

[nature @Nature]

Calling all researchers using Anthropic's AI model Claude: how are you using the new Claude Fable 5 model in your research?

We want to hear about the most impressive things it's built for your research projects or left you asking what the fuss is all about. Can it do things you couldn't do before? Let us know.

[serhat al, phd @srhatal]

Where in my life am I trading aliveness for safety?

[DAN KOE @thedankoe]

https://t.co/7l7Jef99QZ

[Zihai Li, MD, PhD @Zihai]

Guidelines for T cell nomenclature: evolving complexity with simple principles. https://t.co/96BESUL5pk

[serhat al, phd @srhatal]

That is the real fuel of dedicated scientists!

[Naval @naval]

You think you’re being productive but no, actually you’re just busy.

[Sholto David @addictedtoigno1]

Paper published on 06 August 2025 in Nature. Day after publication, I asked about a western blot. Author misunderstands my question, says it will take "a couple of weeks" to share the experimental repeats promised in the manuscript. Why is that data not close to hand?!

[serhat al, phd @srhatal]

Brother Justin - Carnivale

[Retro Recall (☥𝐃𝐁) @RetroMoviesDB]

Let's hear it for Clancy Brown!

Any fans or favourite roles?

[serhat al, phd @srhatal]

Every human beings instinctively knows why and how Anakin became Darth Vader!

[Jan-Willem Veening @JWVeening]

New tenure track assistant professor position in molecular microbiology in our department @DMF_UNIL @unil! We are casting a wide net for an experimental molecular microbiologist. Apply here: https://t.co/9ZeM6sI05X

[Huiluo Cao 曹慧荦 @hlcao]

Gut microbiota-derived GlcNAc-MurNAc is a TLR4 agonist that protects the host gut | Nature Communications https://t.co/JOlceJG5BJ

[Microbiome @MicrobiomeJ]

In #EnvironmentalMicrobiome

🔍Contrasting stability of fungal and bacterial communities during long-term decomposition of fungal necromass in Arctic tundra

📢20% of fungal necromass remained even after three years of decomposition

👉https://t.co/PwuV82bJtJ

[Joachim Schork @JoachimSchork]

The ggalign package in R brings flexibility to your visualizations by helping align multiple plots and incorporate complex hierarchical data structures, like dendrograms, alongside your primary charts. This extension of ggplot2 makes it easier to organize heatmaps with clustering and other detailed data views, all in a clean, cohesive layout.

With ggalign, you can combine multiple plot types effectively, making it a powerful tool for exploring high-dimensional data. Here’s why it’s worth exploring:

✔️ Seamless Integration with ggplot2: Works alongside ggplot2 for consistent, customizable visuals.

✔️ Multi-Plot Alignment: Aligns heatmaps with other elements like dendrograms, gene annotations, or K-means clusters, as seen in this example, for clear, layered insights.

✔️ Enhanced Data Exploration: The ability to layer information enables users to observe patterns across different groupings, making it easier to spot relationships.

In this visualization from the package website, ggalign combines a heatmap of gene expression data for various cell types, clustering information, and additional data panels for gene annotations, distribution, and K-means groupings. The heatmap uses a gradient from dark to light to show gene expression intensity, with accompanying panels for cell type and gene attributes, offering a comprehensive view of this complex data set.

If you're interested in learning more about creating powerful visuals in R, check out my Data Visualization in R Using ggplot2 & Friends course.

Learn more by visiting this link: https://t.co/ztlEzoEDWv

#datascienceenthusiast #datavis #programming #RStats #tidyverse #Python #database #Rpackage #VisualAnalytics #ggplot2 #pythoncode

[Microbiome @MicrobiomeJ]

In #Microbiome

🔍Uncovering encrypted antimicrobial peptides in health-associated Lactobacillaceae by large-scale genomics and machine learning

🚨Lactobacillaceae possesses strong antimicrobial potential

👉https://t.co/m2iPllvZjg

[Victor J. Torres @TorresVJ_Lab]

Alert! The abstract deadline for the Microbial Pathogenesis & Host Response meeting has been extended to July 7 https://t.co/h2iB8OiQYG

[Chinese Chemical Letters @ChinChemLett]

Will AI Kill the Review Article?
@ACSPublications

https://t.co/EIHooUqs9d

[serhat al, phd @srhatal]

Before going to sleep, I most oftenly need one dose sultans of swings in early begining of nights. But must be alchemy live record to feel real absolute taste that the peak ever achived in the music history!

[Stephen Turner 🦋 @stephenturner.us @strnr]

SVbyEye: A visual tool to characterize structural variation among whole-genome assemblies https://t.co/aluPvsLV1y 🧬🖥️🧪 https://t.co/xj0DhpY0Xm

[Joachim Schork @JoachimSchork]

Need to visualize multi-dimensional categorical data in R? ggalluvial, an extension of ggplot2, makes it easy to create alluvial diagrams and Sankey plots, helping you uncover patterns and flows across categories.

✔️ Plot alluvial diagrams to represent relationships between categorical variables.
✔️ Create Sankey plots to visualize flows and transitions.
✔️ Customize aesthetics, including colors, labels, and node arrangements.
✔️ Handle both wide and long-format data sets with ease.

Whether you're analyzing survey responses, tracking user behavior, or exploring categorical trends, ggalluvial simplifies the creation of clear and informative visualizations.

The visualization shown here is taken from the package website: https://t.co/LIm6nlQwim

Learn more about ggplot2 and its extensions in my online course "Data Visualization in R Using ggplot2 & Friends." For more information, visit this link: https://t.co/ztlEzoEDWv

#rstudioglobal #Rpackage #DataViz #RStats #DataAnalytics #Statistical #tidyverse #VisualAnalytics #datastructure

[Scholarship for PhD @ScholarshipfPhd]

Artifcial intelligence-assisted academic writing: recommendations for ethical use (1/5)

[Steven Ge @StevenXGe]

Excited to launch DataMap – a portable, browser-based tool for generating heatmaps and PCA & tSNE plots.
No installs. No servers. Your data never leaves your device.
✔️ Interactive heatmaps, PCA, and t-SNE
✔️ Transform & normalize data on the fly
✔️ Upload CSV, TSV, Excel + annotations
✔️ Generate R code for reproducibility
Ideal for visualizing high-dimensional data matrices, such as RNA-Seq data. It's a Shiny app deployed via shinylive and WebAssembly. Also available as an R package.
Try it now: https://t.co/5CcKBkItlt
Source code: https://t.co/5CcKBkItlt
Preprint: https://t.co/5LZ4bi4oTr