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#Microscopy and #Imaging people of Mastodon! Have you heard about the FocalPlane Network run by @focalplane_jcs ?

The idea is to build a network of people into imaging (maybe cell biologists, or microscope builders, image analysts etc). This is so that of people need a speaker or panel member with expertise, they can find someone. If you are happy to, you can other info e.g. gender, race/ethnicity, LGBTQ+ identity and disability status, to help diversify conferences and other opportunities.

Registration is now open for our 2024 Journal Meeting 'Diversity and Evolution in Cell Biology' organised by Gautam Dey
@gautamdey, Lillian Fritz-Laylin, Snezhka Oliferenko, Meg Titus & Michael Way. View speakers & apply at: biologists.com/meetings/jcsevo

#CellBiology #Evolution #JCSevocellbio

This is an interesting preprint. High profile tweeters conducted a controlled experiment to test if tweeting about a paper boosts its citations. They could influence the downloads of the paper but no significant effect on cites.

biorxiv.org/content/10.1101/20

#Preprint #bioRxiv #Altmetrics

Controlled experiment finds no detectable citation bump from Twitter promotion

Multiple studies across a variety of scientific disciplines have shown that the number of times that a paper is shared on Twitter (now called X) is correlated with the number of citations that paper receives. However, these studies were not designed to answer whether tweeting about scientific papers causes an increase in citations, or whether they were simply highlighting that some papers have higher relevance, importance or quality and are therefore both tweeted about more and cited more. The authors of this study are leading science communicators on Twitter from several life science disciplines, with substantially higher follower counts than the average scientist, making us uniquely placed to address this question. We conducted a three-year-long controlled experiment, randomly selecting five articles published in the same month and journal, and randomly tweeting one while retaining the others as controls. This process was repeated for 10 articles from each of 11 journals, recording Altmetric scores, number of tweets, and citation counts before and after tweeting. Randomization tests revealed that tweeted articles were downloaded 2.6–3.9 times more often than controls immediately after tweeting, and retained significantly higher Altmetric scores (+81%) and number of tweets (+105%) three years after tweeting. However, while some tweeted papers were cited more than their respective control papers published in the same journal and month, the overall increase in citation counts after three years (+7% for Web of Science and +12% for Google Scholar) was not statistically significant ( p > 0.15). Therefore while discussing science on social media has many professional and societal benefits (and has been a lot of fun), increasing the citation rate of a scientist’s papers is likely not among them. ### Competing Interest Statement The authors have declared no competing interest.

www.biorxiv.org

In our preprint we describe the sequencing, assembly and analysis of the E. muscae genome, revealing a suite of interesting findings about these highly-specialized pathogens, including expansions of proteins that break down insect blood sugar and those that degrade insulin.

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Hey guys, it’s been a minute. I’m excited to tell you about a new @biorxiv_pubd preprint about the Entomophthora muscae genome! biorxiv.org/content/10.1101/20 (1/n)

@steveroyle thanks for the tip, this is killing! The McCoy energy…

#NowPlaying Yussef Dayes - Black Classical Music. Really enjoying this #jazz record. Huge sounds. Play loud! #YussefDayes #BlackClassicalMusic

I'm trying to classify ~500 proteins into groups. NOT using Gene Ontology (GO) terms. PANTHER protein classification works well, but ~20% have no classification.

Does anyone have suggestions for alternative ways to do this?

#Bioinformatics #BioinformaticsHelp #CellBiology

@steveroyle in addition to the excellent suggestions so far, I’m very curious about two new papers where they clustered all 214 million predicted structures in the AlphaFold database.

I haven’t tried it yet, but I think structural clustering could be complementary to the sequence based clustering in Pfam or Interpro

nature.com/articles/s41586-023

nature.com/articles/s41586-023

Finally made an #ImageJ macro to generate rotated zoom boxes!

@christlet Very cool! I love the dedicated button on the toolbar.

In the past I have used the rotated rectangle tool (dropdown from the regular rectangle tool) followed by duplicate, and at least for me it does a rotated crop. Is there an advantage to one method over the other?

🔬First Mastodon post alert!☺️
Hey there, I'm Delnia, and I've just embarked on my PhD journey in Cellular and Structural Biology at IGBMC, University of Strasbourg.🧬
I'll be focusing on unraveling the (ultra)structural mysteries of Golgi organization under the expert guidance of Florian Fabler. 🧪🔍
A repost would be fantastic as I'm building my network here on Mastodon.
Let's connect and explore the world of science together!
#phdlife #CellBio #cryoET #IGBMC #structurebiology #introduction

A wow prescient quote from 1865 that will resonate with my anti-reductionist friends

“Physiologist and physicians must never forget that a living being is an organism with its own individuality. Since physicists and chemists cannot take their stand outside the universe, they study bodies and phenomena in themselves and separately, without necessarily having to connect them with nature as whole. But physiologists, finding themselves, on the contrary, outside the animal organism which they see as a whole, must take account of the harmony of the whole, even while trying to get inside, so as to understand the mechanism of its every part. The result is that physicists and chemists can reject all idea of the final causes for the facts that they observe; while physiologists are inclined to acknowledge a harmonious and pre-established unity in an organized body, all of whose partial actions are interdependent and mutually generative. We really must learn, then, that if we break up a living organism by isolating its different parts, it is only for the sake of ease in experimental analysis, and by no means in order to conceive them separately. Indeed, when we wish to ascribe to a physiological quality its value and true significance, we must always refer to this whole, and draw conclusions only to its effects in the whole.”

Stumbled upon via this excellent take about homestasis (and how it's anti-reductionistic)
ncbi.nlm.nih.gov/pmc/articles/

Claude Bernard, 1865

We love thinking about how our science + society coverage can better inform, engage, and empower you. That's why we are partnering with the Solutions Journalism Network to pilot the What’s Working Factbox.

Embedded within our stories, the window connects you with articles from the Solutions Story Tracker® produced by us and our friends like Next City, Yes! Magazine, and the Christian Science Monitor.

Learn more here: solutionsjournalism.org/organi

#science #news #innovation #journalism

Interested in how cells influence their neighbours?

Want a flexible, sensitive, unbiased approach to explore neighbour responses?

Tamina Lebek presents PUFFFIN: Positive Ultra-bright Fluorescent Fusion For Identifying Neighbours

PUFFFIN has SO MANY great features and we are very excited about using it to understand development, homeostasis, and disease

Here are some of the clever tricks that Tamina thought up to make this system so useful...

1/n

embopress.org/doi/full/10.1038

I just found `alv` (github.com/arvestad/alv), a tool for viewing multiple sequence alignments on the command line, and it's perfect. I needed a tool to highlight differences and `alv -f fasta -t aa --only-variable aln.afa` does just that. Would prefer the numbering to start at 1 since sequence variants are 1-based #bioinformatics (Data from ERR031940.)

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