Yuanhua Huang
@yuanhuahuang
Assistant Professor @HKUniversity, working on data science for biomedical science, single-cell genomics and bioinformatics.
ID: 790618867102081024
https://statbiomed.github.io 24-10-2016 18:20:01
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911 Followers
391 Following
๐จ๐๐ ๐๐๐ job opportunity UC San Francisco ๐จ: I'm hiring TWO postdocs - an experimentalist and a computational biologist. Join us to use cutting-edge single-cell and spatial technologies to unravel the mysteries of human tissues. opportunities.ucsf.edu/content/open-pโฆ
Congrats to Prof Yuanhua Huang and his team from Centre for Translational Stem Cell Biology and HKU SBMS on their latest publication titled "Robust analysis of allele-specific copy number alterations from scRNA-seq data with XClone" in Nature Communications. Read the paper here: go.nature.com/4dhfFUZ #CTSCB #CNAs
๐พExcited to share our integrated spatial-temporal multiomics tool, ๐๐ญ๐๐๐ข๐, is finally Genome Biology In ๐๐ญ๐๐๐ข๐, you can: ๐ก analyze atlas-scale spatial+temporal omics, single-cell multiomics data in this single tool. ๐use ๐๐๐น๐ฎ๐๐ฉ๐ถ๐ฒ๐ to generate a unified
๐๐ญ๐๐๐ข๐ is more than compatible with different data type - it integrates data for atlas-scale spatiotemporal multiomics analysis ! ๐บ๏ธ We analyzed the Stereo-Seq zebrafish gastrulation atlas (ZESTA) with ๐๐ญ๐๐๐ข๐ to showcase its ability to integrate spatial
Happy to see crispat published. Great work led by Jana Braunger to facilitate guide assignment in single cell CRISPR screens. academic.oup.com/bioinformaticsโฆ
Wonderful to see this work from Jorge Diego Martin-Rufino and #AlexisCaulier from our lab out in #bioRxiv! Please check out our development and application of Perturb-multiome to enable systematic mapping of genetic variation impacting hematopoiesis!
Two new chapters from my free online book in human genetics out this weekend! These complete Part 3 of the book, on human population structure and history: 3.3: Human prehistory [separate thread] 3.4: Ancient DNA: a genetic time capsule [this thread] web.stanford.edu/group/pritcharโฆ
๐งโโ๏ธ Still struggling with making sense out of all the cell images in your assays/tests? Check out ๐๐จ๐ซ๐ฉ๐ก๐จ๐๐๐ง๐ข๐ ๐ง- a computational pipeline that automates morphological profiling with robust generalizability and interpretability: ๐งโโ๏ธ๐๐ข๐ ๐ก-๐ ๐ข๐๐๐ฅ๐ข๐ญ๐ฒ ๐๐ฆ๐๐ ๐
Great to have Chaolin Zhang visiting us today and hear their cool stories of RNA biology, computation, and translation (for both meanings), reminding me the joy of working on RNA biology.