Welcome to BiblioBlast, the D. Samuel Gottesman Library of the Albert Einstein College of Medicine. BiblioBlast will inform you about new Library resources and keep you up to date with our classes, events and other activities. It will also highlight tips to make our online resources easier and faster to use.
The Mason OER Metafinder from The Mason Publishing Group at George Mason University Libraries is a search tool that allows users to search record metadata from seventeen digital libraries and repositories, including the Digital Public Library of America, OER Commons, and AMSER-Applied Math and Science Education Repository.
To get to the actual metafinder, click on Mason OER Metafinder from the homepage. The metafinder allows you to enter search terms in full record (allowing you to search across the entire content of a document), title, author, or date range. You can also choose which sources the metafinder should search by unselecting repositories below the search bars.
Congratulations to the Class of 2018 of the Albert Einstein College of Medicine!
The Library staff wishes you much happiness, success and gratification in your chosen fields.
Journal of Visualized Experiments (JoVE) is an online peer-reviewed journal devoted to the publication of biological, chemical and physical research in a video format. JoVE’s use of video technology provides researchers with a streamlined way to learn and replicate complicated procedures. There are currently 1,750 videos available demonstrating new experimental techniques in:
Scientists at leading research institutes are providing content to JoVE. Einstein researchers in the departments of Anatomy & Structural Biology, Biochemistry, Developmental & Molecular Biology, Microbiology & Immunology and Neuroscience have contributed to these videos.
To help consumers navigate information about popular herbs and herbal supplements, the National Institutes of Health’s National Center for Complementary and Integrative Health has launched HerbList – an app for research-based information about the safety and effectiveness of herbal products.
Read the news release here.
Genome-wide association studies (GWAS) usually rely on the assumption that different samples aren’t from closely related individuals. If you’re using combined datasets that have been genotyped on different platforms, though, how do you detect duplicates and close relatives?
The dbGaP team at NCBI developed a new software tool and rapid statistical method called Genetic Relationship and Fingerprinting (GRAF) to do exactly that. At NCBI, GRAF is used as a quality assurance tool in dbGaP data processing. This tool is publicly available so that any researcher can check the quality of their own data.
Read more about it here.