You now have access to bulk settings options for track hubs in the Genome Data Viewer (GDV) and Sequence Viewer. These settings allow you to pick the default tracks that load into the viewer from your chosen track hub. You can access the bulk options menu for by clicking on the collapsed menu or “hamburger” icon (stack of horizontal bars) at the right end of the track grouping in the Configure Track Hubs dialog (Figure 1).Figure 1. The Configure Track Hubs dialog in GDV. You can activate the bulk settings menu for a connected track hub by clicking on hamburger icon at the right of the track grouping. Clicking Select Default tracks checks on all of the tracks in that grouping, Smoothed PhyloCSF in this case. Continue reading
You can now download images in both PDF and Scaled Vector Graphics (SVG) formats from our Sequence Viewer and genome browsers such as the Genome Data Viewer! SVG files are ideal for editing in image editors and provide high quality graphics for publications, posters, and presentations. Both the PDF and SVG files that you download contain vector graphics for high fidelity images.
You can download image files by choosing the “Printer-Friendly PDF/SVG” option under the Tools menu from any Graphical Sequence Viewer application (Figure 1).
Figure 1. Printer friendly download options from the graphical view in the Genome Data Viewer. You can download either PDF or SVG formats, which are easily edited in standard graphics applications.
On June 18, 2019, NCBI’s Sanjida Rangwala will demonstrate the rich data visualization capabilities of NCBI’s genome browser at a conference that is part of the Rocky Mountain Genomics Hackcon. As mentioned in a previous post, NCBI staff will also participate in an NCBI-style Hackathon as part of the larger event. The genome browser presentation and demonstration will show you how to create visuals that provide insights and show connections among genes, transcripts, variation, epigenomics and GWAS data from NCBI sources. You will also see how you can upload your own data and embed NCBI viewers on your own pages.
Next Wednesday, November 14, 2018, NCBI staff will show you how to use NCBI’s genome browsers and other resources to interpret variants. The graphical displays of Genome Data Viewer (GDV) and Variation Viewer offer an interactive experience that allows you to explore NCBI’s rich collection of annotations, datasets and literature for deciphering your variant-associated data. In this presentation, we’ll step through case studies and show you how to quickly display relevant NCBI track sets — including the new RefSeq Functional Elements track, upload a file or remotely-hosted dataset and display these as a track, and use browser tracks to identify known variants, then assess variant functional and clinical significance and allele frequency. You will also learn how to navigate from the browsers to NCBI resources such as ClinVar, dbSNP and PubMed, for additional variant information.
Date and time: Wed, Nov 14, 2018 12:00 PM – 12:45 PM EDT
After registering, you will receive a confirmation email with information about attending the webinar. A few days after the live presentation, you can view the recording on the NCBI YouTube channel. You can learn about future webinars on the Webinars and Courses page.
Earlier this year, we announced the release of a new and improved search feature that interprets plain language to give better results for common searches. This feature, originally developed in NCBI Labs and later released on the NCBI All Databases search, is now available across several NCBI resources: Nucleotide, Protein, Gene, Genome, and Assembly. Whether you are searching for a specific gene or for a whole genome, you will now retrieve NCBI’s best results regardless of the database you search.
The image below shows the results for a search for human INS in the Nucleotide database. Even though this is a Nucleotide search, the results include relevant information from Gene, Protein, Taxonomy, plus links to the NCBI reference sequences (RefSeq) as well as access to BLAST and the insulin gene region in NCBI’s genome browser, the Genome Data Viewer.Figure 1. The new natural language search result in the Nucleotide database from a search for human INS.
Try out this new search capability and let us know what you think. And keep visiting the NCBI Labs search page to try our latest experiments, which we’ll also announce here on NCBI Insights.
The Genome Data Viewer’s (GDV) browser display now supports content provided in track hubs. This new GDV feature, summarized in this short video, extends the genome browser’s capability when it comes to viewing user-supplied data tracks alongside NCBI-provided tracks. You now have multiple options to analyze your data that include uploading your data (file/URL), streaming individual files from a remote location and/or connecting to a track hub. In all instances, GDV recognizes a variety of popular file formats with support for additional file formats planned. In the display, you can now also easily distinguish user-supplied tracks by their green-tinted track labels. Continue reading
In October of last year, we announced the replacement of NCBI’s Map viewer with the Genome Data Viewer (GDV). Here are some additional details on how to access to the older Map Viewer FTP content going forward and some information to help you with the transition to GDV.
As we announced last fall, we are no longer updating the data content of Map Viewer FTP directories. To help avoid any confusion over the meaning of the directory names, we will alter the CURRENT and PREVIOUS directories under the species directories in the Map Viewer FTP area so that they no longer point to data. However, the existing data will still be available on the FTP site.
The Genome Data Viewer (GDV) is now the main genome browser at NCBI replacing the Map Viewer, our original genome browser. GDV is a modern genome browser with essential improvements over Map Viewer. These include sequence-level details and an automated update process that keeps up with the rapid pace of genome sequencing, assembly and annotation.