Need an up-to-date #TreeofLife for teaching/conferences/wall paper? Talented PhD student Bacille Diderm Beaud drew a schematic consensus ToL from the most recently published phylogenies. Hope this is useful! Downloadable version in the thread👇

Good news everyone! A new version of graph-tool is just out! graph-tool graph-tool.skewed.de Single line installation: Anaconda ⤵️ conda create --name gt -c conda-forge graph-tool Homebrew ⤵️ brew install graph-tool Debian/Ubuntu⤵️ apt-get install python3-graph-tool 1/2

In a Science study, @MetaAI researchers show the power of a large language model, #ESMFold, to enable protein structure prediction and analysis. Using ESMFold, they generated a database—the ESM Metagenomic Atlas—of over 600 million metagenomic proteins. scim.ag/1Uv

How I learn machine learning the untraditional way: 🧵 👇

K-Means has two major problems: - Number of clusters must be known - Doesn't handle outliers But there's a solution! Introducing DBSCAN, a Density based clustering algorithm. 🚀 Read more 🧵👇

AutoGPT is the breakthrough. It’s making GPT-4 look quaint. AutoGPT agents are self-directing machines. Here are 25 ways to use AutoGPT to skyrocket your career:

This is a great time to break into AI and become the builders of the next decade. Language models are one of the most exciting places to start. You need 4 things: • Python • What the heck are embeddings? • A model to use • A sample to build Here is one idea:

K-Nearest Neighbours (KNN) is a simple yet powerful ML algorithm! Today, we clearly understand & implement KNN from scratch! 🔥 Let's go! 🧵👇

New preprint driven by the incredible Zachary Flamholz Albert Einstein College of Medicine - Official and an awesome new collab with my former Chisholm Lab MIT CEE postdoc buddy Steve Biller: Large language models improve annotation of viral proteins. A thread. researchsquare.com/article/rs-285…

Don't pay ridiculous amount of money to learn Data Science & Machine Learning. Access FREE Data Science Education from: ❯ MIT ❯ CMU ❯ Stanford ❯ DeepMind ❯ Cornell Tech A Thread 🧵👇

I've been coding in Python for 8 years now. ⏳ If I were to start over again in 2023, here's a roadmap: 🧵👇

📢 Attention researchers and data enthusiasts: The official blog for the 2023 FASEB #DataWorksPrize Challenge is now live! Dive into the world of robust data management and best practices and submit your own for prize $$. Explore here: datascience.nih.gov/director/direc… #NIHData

A couple weeks ago David Juergens & Joseph Watson made me a protein that evolution in 3+ billion years has never come up with. It took them a couple minutes. My latest for @nature on how diffusion neural networks are revolutionising protein design. nature.com/articles/d4158…

such a great experience to attend the #CAZyme #GRC last week and talk about #dbCAN and other CAZyme bioinformatics tools. Very excited to have met @CAZyDB and other people that I had only known by their names in papers! Here is one slide that many CAZymers want to see! Nebraska Food 4 Health Center

12 (some are free online) Books that I bought for learning (genomic) data science 👇 🧵 #python #rstats #bioinformatics

Want to find #CAZymes and predict glycan metabolic capacity in #microbiomes using raw reads? We provide end to end protocols for CAZyme/glycan abundance. See dbcan.readthedocs.io/en/latest/. We recommend assembly-based approaches over assembly-free ones.⁦ biorxiv.org/content/10.110…

Extremely thrilled to share that the Zygnema #genomes paper is now out Nature Genetics We hope that this will be a great resource for all #plantsci #algae MadLand #evolution rdcu.be/dGnWJ

And here is the press release on the #Zygnema #genome paper Nature Genetics #evolution uni-goettingen.de/en/3240.html?i… Thanks again to this great team effort with dbCAN Iker Irisarri Marek Mutwil 🇺🇦 @PierreMarcDelau Andreas Holzinger Assaf Mosquna Stefan A. Rensing Fay-Wei Li 李飛葦 &many more MadLand

An international research team co-led by University of Nebraska-Lincoln computational biologist Yanbin Yin unlocks genetic code of earliest land plants, paving the way for future research in plant evolution & adaptation. go.unl.edu/k9wx

"This is an evolutionary story. It answers the fundamental question of how the earliest land plants evolved from aquatic freshwater algae." —Nebraska Food Science & Technology's Yanbin Yin go.unl.edu/9eqm #Nebraska #UNL Institute of Agriculture and Natural Resources Nebraska Research