Happy to share my first first-co-first-authored (that’s corrected!!) article. Kindly read and see if you want genetic code expansion to tag your protein or not (spoiler alert: you will 😜). Many thanks to @TaoUttamapinant and Narongyot for letting me be your conspirator.
A thread
Researchers have created the first detailed model combining the mechanics of root growth with the dynamic regulation of auxin transport and patterning, capable of explaining anisotropic growth. https://t.co/6Dt7W4lQkl
With the last update of the RNArtistCore language, the script editor in RNArtist allows you to easily destruct and reconstruct your #RNA structure. #visualization#bioinformatics#javafx#kotlin
Are you curious about using organic dyes in your microscopy experiments but not sure where to start? This Perspective from @rhodamine110 and @jonathangrimm introduces readers to the world of dyes and their pros and cons for biological applications. https://t.co/3Vm8SWB7Yz
My first @napari_imaging plugin is out now! It can measure region properties, plot them, perform k-means or manual clustering. Huge thanks to #biapol group members for amazing teamwork and all the help @RyanSavill4, @zoccolermarcelo and @haesleinhuepf 🤩
https://t.co/E5WDmqHDo3
Releasing #omnipose, a cell segmentation algorithm inspired by and built from #cellpose. Omnipose improves on all cell types but shows exceptional out-of-the-box performance on bacteria with extended morphologies. 1/8
The signalling effects of the enzyme Matriptase could explain why inflammation and invasion go hand in hand in some cancer cells https://t.co/ZRDge2tjtA
Check out this powerful new machine-learning enabled tool for single-cell tracking in time-lapse microscopy -- great for studying live cell populations and behavior. @quantumjot@FrontComputSci
Today we report in @CellCellPress our new PE4max and PE5max prime editing systems that we first presented at @CSHLmeetings in August. 1/12
https://t.co/BnlnqD5hml
DeepMind's new Perceiver IO neural network was able to achieve state of the art accuracy across multiple data types (text, images, & more). Let's learn how it works and apply it to cardiac video data to predict heart disease! https://t.co/RJHVRzJQ1t
So, my sister asked me what are the five most important books to read for students in your lab, and she was irritated that i didn't have an answer at the ready. (#devbiolwriteclub Rule #4. Read with Intent.) So, here's my first draft of a list: