Chunlei Wu
@chunleiwu
Professor @scrippsresearch - Bioinformatics, Data science, Crowd-sourcing, Genomics - Building @biogps @mygeneinfo @myvariantinfo @biothingsapi
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We’re excited to be officially included in the #NIAID Data Ecosystem Discovery Portal, a hub for accessing #FAIRData from over 50 sources related to infectious and immune-mediated diseases. data.niaid.nih.gov
Scripps Research scientists @flaneuseks @andrewsu @chunleiwu have partnered with @NIAIDBioIT to launch the NIAID Data Ecosystem Discovery Portal - a searchable interface of infectious & immune-mediated datasets
J Harry Caulfield now talking about transforming unstructured biomedical texts with LLMs. Using these to translate this unstructured data ti knowledge schemas. #BOSC2023 #ISMBECCB2023
The first keynote for #BOSC2023 by Dr. Sara El-Gebali (@yalahowy) titled “A New Odyssey: Pioneering the future of scientific progress through open collaboration”
Outbreak.info Research Library collects and integrates COVID-19 information from various repositories, enabling 1-stop search for publications, clinical trials, datasets and other sources. nature.com/articles/s4159… @GTsueng @flaneuseks @K_G_Andersen @andrewsu @chunleiwu
Now you can easily find sets of genes involved in #GeneOntology processes, diseases and more with our new @mygenesetinfo API. Try it out at mygeneset.info
mygeneset.info
My Geneset
A website and API to collect, save, and share genes
Our latest #Biomedical #API member of the @biothingsapi family! Public annotated genesets➕ user submitted genesets➕anonymous genesets
Soft launch of our brand-new MyGeneset.info, a web toolset for sharing functional gene sets in all species with programmatic #API access. A joint work of @vincerubinetti @ravila_4 & the @biothingsapi team of @GreeneScientist & @chunleiwu labs!
mygeneset.info
My Geneset
A website and API to collect, save, and share genes
New BioThings SDK #pypi package released with support for #python 3.9, 3.10 and a lot of other improvements! pypi.org/project/biothi…
NIH launched the Long COVID Computational Challenge (L3C) which will award up to $500k in support of data-driven AI/ML solutions that help us understand the risks of developing the condition. #NIHData #DataScience imagwiki.nibib.nih.gov/index.php/news…
We collaborated with @gisaid to enable access to all genomic data on outbreak.info via R package outbreak-info.github.io/R-outbreak-inf… This allows researchers to access #SARSCoV2 variant data from to support their own analyses. #openscience
Congrats @ScrippsGradPrgm @ScrippsResearch for being, once again, ranked among the top ten in the nation, according to the U.S. News & World Report’s survey. We are the only non-university-based program included on the list. Another great reason to join our faculty!
Just announced! @NIHdatascience is making it easier for researchers to share and reuse NIH-funded research data. Learn about our new initiative: datascience.nih.gov/news/nih-offic… #NIHdata #researchers #FAIRData #OpenData #OpenScience
Would love to see more candidates in bioinformatics and computational biology! @iscb
The LitCoin Natural Language Processing (#NLP) Challenge is live! NCATS will reward the most creative & high-impact uses of biomedical publication free text to create knowledge graphs that can link concepts within existing research. Learn more: go.usa.gov/xe2uD
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