Are you interested in mining literature about COVID-19 and the novel SARS-Cov-2 virus? You may want to check out the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a collection of more than 13,000 full text articles that focus on COVID-19 and coronaviruses and that were assembled from PMC, the WHO, bioRxiv, and medRxiv. To produce this dataset, the National Library of Medicine partnered with colleagues from the Allen Institute for AI, the Chan Zuckerberg Initiative (CZI), Georgetown University’s Center for Security and Emerging Technology (CSET), Kaggle, Microsoft, and the White House Office of Science and Technology Policy (OSTP).
CORD-19 is available from the Allen Institute and will be updated weekly as new articles become available. The article data are formatted in JSON, making the collection ideal for computational methods such as data mining, machine learning, and natural language processing. We hope this collection serves as a call to action for the community to improve our understanding of coronaviruses and the human diseases they cause. Have a look and let us know what you think!
NIH is pleased to announce a computational medicine-focused codeathon. To apply, please complete the application form by February 25, 2020. We will also be offering a free workshop, AWS Technical Essentials, the day before the codeathon. Read on for more information about the event. Continue reading →
The action menu (Figure 1) now contains Collections and My Bibliography, allowing you to manage and share groups of citations. After running a search, you will also find a “Create alert” link under the search box that lets you set up automatic My NCBI email updates for your search.
Figure 1. New PubMed search result page showing the new “Create alert” link and updated action menu.
Going forward, we will continue to develop new features leading up to the time when this new version of PubMed will replace the legacy PubMed. As this progresses, we would love to hear what you think about these new additions! Please use the “Feedback” button (available on every page of the new PubMed) to submit your comments, questions, or concerns.
NLM needs your input. We are experimenting with a new PubMed search algorithm, as well as a modern, mobile-first user interface, and want to know what you think. You can try out these experimental elements at PubMed Labs, a website we created for the very purpose of giving potential new PubMed features a test drive and gathering user opinions.
Please note that PubMed Labs includes only a limited set of features at this time and not the full set of PubMed tools. The absence of a feature or tool on PubMed Labs does not mean we plan to eliminate it from PubMed; it simply means we are not testing it now!
The key elements we are testing are:
A new search algorithmfor ranking (ordering) the best matches to your query
Based on analysis of data obtained from anonymous PubMed search logs, we have developed a new algorithm that we believe does a much better job of sorting search results by their relevance, or “best match,” to your query. This new algorithm incorporates machine learning to re-rank the top articles returned.
We were so excited by results with this algorithm that we already implemented it in PubMed, but it is still experimental and we would very much appreciate hearing what you think. Part of our test in PubMed Labs is having best match be the default sort, instead of PubMed’s default of sorting by most recent articles. If you find that you prefer to sort by the most recent articles instead, it takes only a simple click of a button to do so.
Glycobiology—the study of the structure, biosynthesis, biology, and evolution of glycans (the sugar chains synthesized by all living cells)—is a rapidly growing field in the natural sciences, with broad relevance to many areas of basic research, biomedicine, and biotechnology.
This blog post is intended for people who refer to chemical names/symbols and synonyms in databases like PubMed and PubChem, or in their own scientific papers. There is a similar post for gene symbols and names.
During the research and publishing process, scientists need to refer to their chemicals-of-interest. While there are standardized nomenclatures (IUPAC, SMILES, InChITM, etc.), different labs sometimes use different names for the same chemical.
The NCBI PubChem project has set up a system to identify and correlate these various names as well as ‘alias’, ‘synonym’, or ‘also known as’ terms that have been used in the literature.
The University of Oklahoma Health Sciences Center has published an open-access book called “Streptococcus pyogenes: Basic Biology to Clinical Manifestations” that provides a comprehensive review of research on the bacteria. The university’s first online, open-access book, “Streptococcus pyogenes” is freely available on NCBI’s Bookshelf, at http://www.ncbi.nlm.nih.gov/books/NBK333424/.
Streptococcus pyogenes (Group A Streptococcus) is responsible for diseases such as scarlet fever, pharyngitis, impetigo, cellulitis, necrotizing fasciitis and toxic shock syndrome, as well as the sequelae of rheumatic fever and acute poststreptococcal glomerulonephritis. The book aims to provide an up-to-date and comprehensive review of research on Streptococcus pyogenes, including its basic biology, epidemiology, genetics and pathways that facilitate group A streptococcal infections. Continue reading →
You’ve seen it before on shopping web site: you load a page displaying an item you want and see a list of other items that people bought with the one you’re viewing.
PubMed is free, but finding the important articles on a topic can cost a lot of time. To help you keep on top of the literature – with a little help from your fellow PubMed users – we are introducing a new type of link called “Articles frequently viewed together”. For some PubMed abstracts, you may see this link in the “Related Information” section in the right column.
It’s been an exciting and productive time since the PubMed Commons beta launch. We’ve learned a great deal, both here working under the hood and from the conversations in social media and blog posts.
We are working on answers to questions that people are asking, via our Twitter account and by revising and expanding information on the PubMed Commons page soon. And we will try out a Twitter chat: so keep your eye out on @PubMedCommons for the announcement.
There are now about 1,000 people signed up in the Commons. Remember, any author in PubMed can join, from anywhere in the world. Check out our step-by-step guide. Once you are in, you can invite others. So please spread the word!