Registration now open for the Bioinformatics and Computational Biology Symposium, September 9, 9:30 a.m.–3:00 p.m
Announcements & News
SciFinder-n Chemistry Database Now Available to NIH Staff
NIH staff now have access to SciFinder-n, a comprehensive collection of chemical substances, reactions, and literature references, curated by expert scientists.
NCI Cancer Research Data Commons: Cloud Computing—New Webinar
Join us for this new class being offered by the NIH Library, NCI Cancer Research Data Commons: Cloud Computing, presented by the NIH Library in partnership with NCI.
Bioinformatics Workshop and Classes Available Online in May
The NIH Library is pleased to present a one-day bioinformatics workshop and several bioinformatics classes this month, all offered online.
Virtual Services and Staff: Research Support from the NIH Library
The NIH Library has a wide variety of services and staff to help you—virtually—with your teleworking information and research needs.
Quick Access to the Right Answers through AccessMedicine
AccessMedicine is a comprehensive online resource that provides instant access to leading medical textbooks, instructional videos, and study and self-assessment tools.
Bioinformatics Support Service at the NIH Library
This free service features bioinformatics consulting, training, analysis tools and databases hosted on high-performance computing workstations in the NIH Library and other open sources in NIH.
SciFinder Chemistry Database Class at the NIH Library
Register to attend this class on SciFinder, a chemistry database that provides integrated access to a comprehensive collection of chemical substances, reactions, and literature references.
Reaxys Chemistry Database Training
The NIH Library is presenting Reaxys Training on October 23, 12:30-2:00 p.m. Reaxys is a chemistry database that provides access to information about millions of chemical structures, reactions, and properties.
Data Science Videos Now Available from the NIH Library
The SAGE online videos cover a wide range of innovative methods and best practices for data analysis, data visualization, and computational social science research.