Chunlei Wu
@chunleiwu
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Professor @scrippsresearch - Bioinformatics, Data science, Crowd-sourcing, Genomics - Building @biogps @mygeneinfo @myvariantinfo @biothingsapi
Joined August 2010
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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
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Jackson from @biothingapi team presenting BioThings Explorer, https://t.co/nxIDq7jqHg, as a way to integrate distributed knowledge #APIs with lower developer burden #BOSC2023 #ISMBECCB2023
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J Harry Caulfield now talking about transforming unstructured biomedical texts with LLMs. Using these to translate this unstructured data ti knowledge schemas. #BOSC2023 #ISMBECCB2023
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https://t.co/BnSLK4hXp2 Research Library collects and integrates COVID-19 information from various repositories, enabling 1-stop search for publications, clinical trials, datasets and other sources. https://t.co/FziPTgtzx0
@GTsueng @flaneuseks @K_G_Andersen @andrewsu @chunleiwu
nature.com
Nature Methods - Outbreak.info Research Library collects and integrates COVID-19 information from various repositories, enabling one-stop search for publications, clinical trials, datasets and...
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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
A website and API to collect, save, and share genes
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Our latest #Biomedical #API member of the @biothingsapi family! Public annotated genesets➕ user submitted genesets➕anonymous genesets
Soft launch of our brand-new https://t.co/Wi6ASuiddv, 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!
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New BioThings SDK #pypi package released with support for #python 3.9, 3.10 and a lot of other improvements!
pypi.org
a toolkit for building high-performance data & knowledge APIs in biology
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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
https://t.co/2HVA04Il7e
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We collaborated with @gisaid to enable access to all genomic data on https://t.co/c6AtWST0HM via R package https://t.co/GOPQVDsXbg This allows researchers to access #SARSCoV2 variant data from https://t.co/c6AtWST0HM to support their own analyses. #openscience
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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!
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Just announced! @NIHdatascience is making it easier for researchers to share and reuse NIH-funded research data. Learn about our new initiative: https://t.co/ppezZScDib
#NIHdata #researchers #FAIRData #OpenData #OpenScience
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Would love to see more candidates in bioinformatics and computational biology! @iscb
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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: https://t.co/57zmO5szcL
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