🧵5 Top Free Alternatives to BioRender for Scientific Illustrations!
These five websites offer free scientific illustrations for biologists. Great for presentations, research papers and other research communication needs.
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La aplicación Notas es una de las herramientas más poderosas de Apple.
Pero el 80% de los usuarios sólo lo utilizan a un nivel básico.
Aquí hay 10 cosas increíbles que tu aplicación Notas puede hacer:
Every fat loss tip I could come up with after 13 years in the gym & 6 years of coaching:
(Bookmark this to start losing fat today AND keep it off FOR LIFE)
1. Stop relying on cardio to lose fat.
Check out the Animation Lab's latest paper by @MargotRiggi and @torrez_rach that describes how animation tools can be used to model dynamic molecular mechanisms! https://t.co/SabVoL9ekm
Las mutaciones del #SARSCoV2 están surgiendo rápidamente y sigue siendo un misterio cómo el virus adquiere un gran número de mutaciones ventajosas en poco tiempo.
Este estudio muestra que:
La microbiota humana es un reservorio de mutaciones beneficiosas del #SARSCoV2 😵💫
🎉Exciting Update of scGPT 🎉: After receiving significant attention from the community since our April release, we're thrilled to announce the first major update for scGPT - a foundation model for single-cell multi-omic data.
This update integrates community feedback and leverages the latest data release from @cellxgene. It boasts larger pretraining data, and more robust models, and expands the range of application tasks.
Pre-print (V2) available: https://t.co/4aB2c4ZgJy
Access our open-source code and models here: https://t.co/13n0bJvgT2
Detailed tutorials: https://t.co/enNqXqXkdY
Highlights of this update include:
🔬 Introducing the first GPT-style foundation model for single-cell multi-omic data, pretrained on over 33M human cell atlas data.
💡 Our generalist approach enables one model to accomplish multiple tasks in single-cell analysis, including multi-omic integrative analysis and perturbation prediction.
🧬 Discovering gene-gene interactions specific to various conditions using learned attention weights and gene embeddings.
🚀 Uncovered a scaling law showcasing continuous model performance enhancement as data volume increases.
🐾 scGPT model zoo (see github) now offers multiple pre-trained foundation models for various solid organs and a comprehensive pan-cancer model. Begin exploring your data with the most fitting foundation model.
We welcome your thoughts on specialist vs generalist approaches in single-cell studies. Many thanks for the following technical analyses of scGPT:
1. Excellent twittorial by @simocristea: https://t.co/ICq3V78oxG
2. Comprehensive review on LLM in cell biology by @s_batzoglou: https://t.co/xtl5WCXijC
3. Insightful blog by @SalvatoreRaieli: https://t.co/7v8PRv9NNc
Kudos to Haotian (@HAOTIANCUI1) & Chloe (@chloexwang1) for their exemplary work on this project. @VectorInst@pmcc_ai@UHNAIHUB@bradwouters@drbarryrubin@UofT_TCAIREM@UofT_LMP@UofTCompSci@uoftmedicine