New & Noteworthy

New fungal homolog data at SGD

September 15, 2014

Have you ever wondered about the role played by the homolog of a particular yeast gene in other fungal species? SGD’s advanced search tool, YeastMine, can now be used to find homologs of your favorite Saccharomyces cerevisiae genes in the pathogenic yeast, Candida glabrata. There are now 25 species of pathogenic and non-pathogenic fungi in YeastMine, including S. cerevisiae.

The fungal homologs of a given S. cerevisiae gene can be found using the template called “Gene –> Fungal Homologs.” Fungal homology data comes from various sources including FungiDB, the Candida Gene Order Browser (CGOB), the Yeast Gene Order Browser (YGOB), the Candida Genome Database (CGD), the Aspergillus Genome Database (AspGD) and PomBase, and the results link directly to the corresponding homolog gene pages in the relevant databases.

A results table is generated after each query and the identifiers and standard names for the fungal homologs are listed in the table. As with other YeastMine templates, results can be saved as lists for further analysis. You can also create a list of yeast gene names and/or identifiers using the updated Create Lists feature that allows you to specify the organism representing the genes in your list. The query for homologs can then be made against the custom gene list.

All of the new templates that query fungal homolog data can be found on the YeastMine Home page under the “Homology” tab. This template complements the template “Gene → Non-Fungal and S. cerevisiae Homologs” that retrieves homologs of S. cerevisiae genes in humans, rats, mice, worms, flies, mosquitos, and zebrafish.

We invite you to watch SGD’s YeastMine Fungal Homologs video tutorial (also available below) for tips on accessing Fungal Homolog data at SGD. You can view all Video Tutorials for YeastMine here.

Create, Analyze, Save: the Power of Gene Lists in YeastMine

May 30, 2014

If you love to make and analyze lists of genes, you will love YeastMine – you can use it to create all kinds of lists! For instance, use a YeastMine template to search for all genes associated with a given GO term or phenotype observable and save these genes as a list. Or, search for all genes that interact with your gene of interest and save that as a gene list.

What’s even more fun is that you can make lists from your lists! For instance, take the list of genes you found to be associated with a given GO term and plug it into a YeastMine query template to find all the genes that interact with your list of genes – then save those genes as a list. The possibilities are endless given the different types of queries you can perform using YeastMine! Who knows what biological connections you will uncover?

Lastly, save your lists for future use by creating a MyMine account – all you need to sign up is an email and a password.

You can find a link to YeastMine in the top right corner of most SGD pages (“YeastMine: Batch Analysis or Advanced Search”) or go to SGD’s purple main menu bar, click on “Analyze” and select “Gene Lists” to go straight to creating a List in YeastMine.

To see how simple it is to save your search results as a List in YeastMine, view this brief tutorial – YeastMine: Saving Search Results as a List. To view other great SGD tutorials, YeastMine and otherwise, visit and “Subscribe” to the Saccharomyces Genome Database Channel on YouTube.

SGD: New look, new features!

January 26, 2012

SGD has added more than just a new look, we’ve added some great new features!

View the short video “We’ve added more than just a new look…” on Vimeo to learn about our enhanced Search Box and our new navigational menu bar.

New data tracks added to GBrowse

January 26, 2012

SGD has added a mélange of data tracks to our GBrowse genome viewer from six publications covering various applications of high-throughput sequencing, including genome-wide distributions of DNase I-protected genomic footprints (Hesselberth et al. 2009), recombination-associated double strand breakpoints (Pan et al. 2011), polyadenylation sites (Ozsolak et al. 2010), antisense ncRNAs (Yassour et al. 2010), cryptic unstable transcripts (CUTs) (Neil et al. 2009) and Xrn1-sensitive unstable transcripts (XUTs) (van Dijk et al. 2011). You can now also easily download data tracks, metadata and supplementary data by clicking on the ‘?’ icon on each data track within GBrowse. Please watch our video tutorial for more information on how to download data from GBrowse. We welcome new data submissions pre- or post-publication and invite authors to work with us to integrate their data into our GBrowse and PBrowse viewers. Please contact us if you are interested in participating or have questions and comments. Happy browsing!

View Downloading GBrowse Data at SGD on Vimeo.

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