My NCBI Redesign (Personal Search Saving & More Tool for PubMed searches)
My NCBI Redesign (Personal Search Saving & More Tool for PubMed searches)
From the National Library of Medicine March 15th announcement
The National Center for Biotechnology Information (NCBI) is pleased to announce that an improved user interface will be released for My NCBI. The new interface will eliminate complexities and provide a streamlined interface, robust performance, and intuitive navigation. The most visually significant enhancement is that all functions are viewed.
[Editor’s note: Sections affected include the home page, saved searches, collections (saved searches that can be run at future dates), and a personlized My Bibliography]
For detailed information about My NCBI, please see My NCBI Help.
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Access Full Text Life Science and Healthcare Texts Using A New NCBI Bookshelf Homepage
Access Full Text Life Science and Healthcare Texts Using A New NCBI Bookshelf Homepage
The NCBI (National Center for Biotechnology Information) has released a new version of their “Bookshelf” homepage.
Bookshelf provides free access to over 700 texts in life science and healthcare. One of many NCBI resources,Bookshelf enables users to easily browse, retrieve, and read content, and spurs discovery of related information.
The 700+ texts include biomedical textbooks, other scientific titles, some genetic resources, such as Gene Review, and NCBI help manuals.
The search box includes options for Limits (as subject area, resource type) and an Advanced Search Option (as author, publisher, year).
Alternatively one can browse Browse Titles . Browsing results (one or two titles) can be used to create and modify a personal table of titles from one, two, or three columns/facets.
The columns include:
+ Types of books
+ Subjects
+ Publishers
One can learn more by taking a look at this tutorial about browsing the Bookshelf.Other tutorials cover search, searching “inside” a book, using limits, and advanced search. Links to all tutorials can be found on this page.
NIH adds first images to major research database
More than 72,000 clinical photographs illustrate age-related eye disease progression
From the November 23, 2010 Eureka News alert
The National Institutes of Health has expanded a genetic and clinical research database to give researchers access to the first digital study images. The National Eye Institute (NEI), in collaboration with the National Center for Biotechnology Information (NCBI), has made available more than 72,000 lens photographs and fundus photographs of the back of the eye, collected from the participants of the Age-Related Eye Disease Study (AREDS).
These images are now accessible to scientists through NCBI’s online database of Genotypes and Phenotypes, known as dbGaP, which archives data from studies that explore the relationship between genetic variations (genotype) and observable traits (phenotype). Though study descriptions and protocols are publicly accessible, researchers must apply for controlled access to de-identified information about study subjects, including the new images….
…Open-access AREDS data and a link to apply for controlled access to individual-level data, including the new images, can be found on the NEI-AREDS study page athttp://www.ncbi.nlm.nih.gov/gap.
NIH introduces Images, a database of images in biomedical literature
An October 28, 2010 National Institutes of Health (NIH) press release
More than 2.5 million images and figures from medical and life sciences journals are now available through Images, a new resource for finding images in biomedical literature. The database was developed and will be maintained by the National Center for Biotechnology Information (NCBI), a division of the National Library of Medicine (NLM) at the National Institutes of Health. Images is available at http://www.ncbi.nlm.nih.gov/images.
Images is expected to have a wide range of uses for a variety of user groups. These include the clinician looking for the visual representation of a disease or condition, the researcher searching for studies with certain types of analyses, the student seeking diagrams that elucidate complex processes such as DNA replication, the professional or educator looking for an image for a presentation, and the patient wanting to better understand his disease.
“Rapid and easy access to images in the biomedical literature should help scientists and others more quickly identify content of interest,” said NCBI Director David Lipman, M.D. “We believe that the new database will be useful for the discovery process, as well as for educational and professional purposes.”
The initial content of Images reflects images and figures contained in NCBI’s PubMed Central full-text digital archive of biomedical and life sciences journal literature, located at http://www.ncbi.nlm.nih.gov/pmc. Images content may be expanded in the future to include other NCBI full-text resources, such as NCBI’s Bookshelf database of biomedical books and reports, at http://www.ncbi.nlm.nih.gov/books.
The Images database enables users to search images based on keywords and a variety of other parameters, such as author and publication date. Images and data can be easily saved to users’ collections and shared with others through the use of My NCBI, a feature that allows users of NCBI resources to customize their search and display preferences, save and share searches, build bibliographies, and perform a variety of other functions.
NCBI creates public databases in molecular biology, conducts research in computational biology, develops software tools for analyzing molecular and genomic data, and disseminates biomedical information, all for the better understanding of processes affecting human health and disease. NCBI (www.ncbi.nlm.nih.gov) is a division of the National Library of Medicine (www.nlm.nih.gov), the world’s largest library of the health sciences.
The National Institutes of Health (NIH) — The Nation’s Medical Research Agency — includes 27 Institutes and Centers and is a component of the U.S. Department of Health and Human Services. It is the primary federal agency for conducting and supporting basic, clinical and translational medical research, and it investigates the causes, treatments, and cures for both common and rare diseases. For more information about NIH and its programs, visitwww.nih.gov.
An Images link is available through the Search drop-down menu at the top of both the PubMed and NCBI home pages.
NCBI Develops Database of Genomic Structural Variations
From the October 21 NCBI announcement
The National Center for Biotechnology Information (NCBI) has developed a new tool to help scientists understand how differences in DNA sequences contribute to human health and disease.
The Database of Genomic Structural Variation, or dbVar, will help track large-scale variations in DNA sequences discovered in healthy individuals as well as people with conditions such as autism and cancer. The database also contains comparative data on wide variety of organisms, including plants and livestock, that are important to agriculture.
The human genome is made up of approximately 3 billion base pairs of DNA arranged into 23 chromosomes. In recent years, scientists have discovered that very large stretches of the genome can be rearranged, duplicated, or deleted. Some of these variations may be associated with disorders such as Down syndrome, while others do not have apparent impact on health. dbVar is one of several tools scientists can use to understand how genomic variations play a role in disease or affect a person’s characteristics.
“An enormous volume of data is now coming from studies that investigate genetic variation,” says NCBI Director, David Lipman, MD. “We are excited to be playing a role in this important area of scientific inquiry by making the data widely available to scientists and integrating it with other National Library of Medicine research tools and the scientific literature.”
dbVar was officially launched in September 2010. The database is part of an international collaboration that includes the recently-launched Database of Genomic Variants archive (DGVa) at the European Bioinformatics Institute (EBI) and theDatabase of Genomic Variants (DGV) in Toronto. The databases are detailed in the October 2010 issue of Nature Genetics.
Members of the dbVar team are Deanna M. Church, John Garner, Timothy Hefferon, John Lopez, and Azat Mardanov.
Database to Help Scientists Understand How Differences in DNA Contribute to Human Health and Disease
From a National Institutes of Health (NIH) press release
The National Institutes of Health today announces the launch of a new resource, called the Database of Genomic Structural Variation, or dbVar, to help scientists understand how differences in DNA contribute to human health and disease.
The database will help track large-scale variations in DNA discovered in healthy individuals as well as those affected with disorders such as autism and cancer. Additionally, dbVar will collect data on a diverse array of organisms, including agriculturally important plants and livestock. The database was developed by the National Center for Biotechnology Information (NCBI), a division of the National Library of Medicine (NLM) at NIH.