Tag: Gene Expression Omnibus (GEO)
We look forward to seeing you in person at The Allied Genetics Conference (TAGC), March 6-10, 2024, in the Washington D.C. metro area. NCBI staff will participate in a variety of activities and events, including hosting a hands-on workshop: Exploring and downloading NCBI data with NCBI Datasets. We’re also excited to share our recent efforts on the NIH Comparative Genomics Resource (CGR) in a talk during Sunday’s Technology, Tools, and Resources session.
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.
You can find studies with RNA-seq counts by searching GEO Datasets with “rnaseq counts”[Filter]. Continue reading “Search, Download, and Visualize Human RNA-Seq Gene Expression Data in NCBI’s Gene Expression Omnibus (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).
Continue reading “View GEO, SRA, or dbGaP data tracks in NCBI’s Genome Data Viewer”
On February 1, 2020, NCBI will decommission the following FTP subdirectories for GEO:
Continue reading “Attention GEO users: Use new GEO FTP subdirectories”
Next week, NCBI staff will attend the Plant and Animal Genome (PAG) Conference. We have several activities planned, including 1 booth (#223), 4 workshops, 1 talk and 2 posters.
Read on to learn more about what you can look forward to if you’re attending PAG this year. (Note: The listed times are Pacific time.)
Continue reading “Join NCBI at PAG in San Diego, January 12–16, 2019”
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:
Date and time: Wednesday, November 1, 2017 12:00-12:30PM EDT
After registering, you will receive a confirmation email with information about attending the webinar. After the live presentation, the webinar will be uploaded to the NCBI YouTube channel. You can learn about future webinars on the Webinars and Courses page.
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.
Continue reading “The Second Offering of “A Librarian’s Guide to NCBI” at NIH”
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 [1]. 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 [5] while increasing the speed and decreasing the cost of discovery [6].
In this post, we summarize three recent cases where researchers used data from an NCBI resource/database to make significant discoveries.
Continue reading “NCBI’s Open Data – A Source of Experimental Data for Important Discoveries”