Pinned
igraph preprint:
arxiv.org/abs/2311.10260
17 yrs of open source network analysis for all 🦄
Many, many thanks to all contributors and co-authors. It's a blast devving with you folks 🙏🙏🙏
Fabio Zanini
@fabiousername
Group leader at UNSW Sydney 🦘. Single cell biologist, open source developer, diversity aficionado, rock climber, and Nella's papa 🌈
- and also btw our paper in collab with the Einav lab on severe dengue progression in children is on Nature Immunology's website now nature.com/articles/s4159…
- btw atlasapprox.org is live. Single-cell, whole-body cell atlases across the tree of life at your fingertips. Finally get marker genes for the cell type you dig in 1.2 seconds: "What are 10 markers of AT2 in human lung?" Powered by our awesome atlas approximations.
- Proud to receive a CZI #SingleCell data insight grant to build light and scalable approximations of cell atlases! Standardized, easy & fast (subsecond) access to atlas data across cell types, organs & organisms, free & open source, to anyone in the 🌎! atlasapprox.readthedocs.ioScientists are using existing #SingleCell data to uncover new insights into health + disease. Meet some of the researchers who are developing new computational tools & methods to process, analyze and understand this valuable data 👏🏿👏🏽👏🏻 czi.co/3K1mtJ4
- Proud to share our latest work with the @EinavShirit lab shedding 🔦 on severe dengue with single cell resolution! 🔬💻🧬🦠🦟 Those virus-harbouring B cells are just crazy... Well done everyone!! 🍾🥂
