Are you interested in accessing consistently computed gene expression count matrices across thousands of experimental studies for half a million samples? Now you can! We are pleased to announce the availability of gene expression count matrices generated from all the human RNA-seq studies in GEO.
Did you know that you can see epigenomic or other experimental data in NCBI’s Genome Data Viewer (GDV)?
You can easily add aligned study results from GEO, SRA, and dbGaP as data tracks to GDV browser view. Just go to the Tracks button on the toolbar and select the menu option to Configure Tracks. Navigate to the ‘Find Tracks’ tab on the pop-up Configure panel (Figure 1).
On Wednesday, November 1, 2017, we will present a webinar on GDV, NCBI’s full-featured genome browser. In this webinar, you’ll learn how to explore and analyze sequences and annotations for eukaryotic RefSeq genome assemblies. We’ll show you how to:
Search across the entire assembly for genes, products and other markers or jump to a specific position or range
Display any of seven preselected track sets highlighting various aspects of the assembly or create and load your own custom track sets from your NCBI account.
Load and display submitted alignment data from NCBI’s GEO or SRA.
Upload your own annotation and variant data
Display BLAST or Primer-BLAST results on the assembly in the browser.
Date and time: Wednesday, November 1, 2017 12:00-12:30PM EDT
NCBI, in collaboration with NLM and the National Network of Libraries of Medicine NLM Training Center (NTC) at the University of Utah, recently presented the second offering of A Librarian’s Guide to NCBI. Health Sciences Librarians from 17 universities and two federal agencies attended the five-day intensive course on the NIH campus. This second offering of the training continues to prepare health science librarians for supporting NCBI molecular databases and tools, and training patrons in the use of NCBI resources at their own institutions.
As before, all the course materials are available online. Feel free to learn from them, adapt them for your own teaching, and share them with others. You can use the links below to access the updated 2014 course materials. These include the slide sets with demonstrations and practice problems.
On a typical day, researchers download about 30 terabytes of data from NCBI in an effort to make discoveries. NCBI began providing online access to data in the early 1990s, starting with the GenBank database of DNA sequences. Over the years we’ve greatly expanded the types and quantity of data available. You can now find on our site descriptions and data from experimental studies such as next-generation sequencing projects, bioactivity assays for small molecules, microarray datasets and genome-wide association studies.
The White House recently recognized these efforts by awarding NCBI Director David J. Lipman with the “Open Science” Champion of Change Award . The scientific community has recognized the benefits of open data. Access to this information serves as a source of both original and supplemental data for exploration and validation [2-4], which improves the power of experimental data  while increasing the speed and decreasing the cost of discovery .
In this post, we summarize three recent cases where researchers used data from an NCBI resource/database to make significant discoveries.