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New & Noteworthy

New Sequence, Chromosome, and Contig pages

August 25, 2014

New Sequence pages are now available in SGD for virtually every yeast gene (e.g., HMRA1 Sequence page), and include genomic sequence annotations for the Reference Strain S288C, as well as several Alternative Reference Genomes from strains such as CEN.PK, RM11-1a, Sigma1278b, and W303 (more Alternative References coming soon). Each page includes an Overview section containing descriptive information, maps depicting genomic context in Reference Strain S288C (as shown below) and Alternative Reference strains, as well as chromosomal and relative coordinates in S288C.

The sequence itself includes display options for genomic DNA, coding DNA, or translated protein.

Also available on each Sequence page are links to redesigned S288C Chromosome pages, links to new Contig pages for Alternative Reference Genomes, and a Downloads menu for easy access to DNA sequences of several other industrial strains and environmental isolates. The new Sequence, Chromosome, and Contig pages make use of many of the features you enjoy on other new or redesigned pages at SGD, including graphical display of data, sortable tables, and responsive visualizations. The Sequence pages also provide seamless access to other tools at SGD such as BLAST and Web Primer. Please explore these new pages, accessible via the Sequence tab on your favorite Locus Summary page, and send us your feedback.

Changes to the SGD GAF File of Gene Ontology Annotations

March 11, 2014

The SGD Gene Associations file (GAF; gene_association.sgd) contains Gene Ontology (GO) annotations for all yeast genes, in a standard file format specified by the GO Consortium. We are changing the taxon identifier in this file to be consistent with the reference genome sequence at GenBank and protein entries at UniProt.

Until now, the taxon identifier in column 13 of SGD’s GAF has been 4932, which refers to Saccharomyces cerevisiae in general rather than to a specific S. cerevisiae strain. Starting March 8th, 2014, we have changed this to taxon ID 559292, which is specific to the S288C strain used for the S. cerevisiae reference genome sequence.

Please note that the taxon ID 559292 merely reflects the sequence (genome) to which the geneIDs in column 2 are mapped. SGD will continue to capture gene functions (GO annotations) for all strains of S. cerevisiae. Please contact us if you have any questions.
The S. cerevisiae GO annotations (GAF) can be downloaded from SGD’s Downloads site.

YeastMine Upgrade

May 28, 2013

YeastMine, SGD’s powerful search and retrieval tool, has been upgraded to use InterMine version 1.1 software. Highlights of this release include a new format for the template results page, the addition of PantherDB and Homologene homolog data, an improved representation of Gene Ontology (GO) information, the ability to set background population within the GO enrichment widget, and an option to share lists with other users. In addition to the existing video tutorials, a new Help document describes some common queries. See an overview of these new features in the video below, New, Fun YeastMine 1.1!:

New, Fun YeastMine 1.1! from yeastgenome on Vimeo.

Filter Expression Data by Experimental Condition

December 16, 2011

Expression analysis at SGD now offers the ability to filter datasets by condition(s) or process(es) studied. A set of controlled vocabulary (CV) terms describing various perturbations associated with microarray experiments has been constructed and defined, and these terms have been used to tag the comprehensive collection of almost 400 datasets now available in SGD’s instance of SPELL (Serial Pattern of Expression Levels Locator). In this manner, datasets displayed in search results can be filtered using tags (CV terms) such as “oxidative stress” or “sporulation.” Filtering is an option for the “New Search,” “Show Expression Levels,” and “Dataset Listing” features. The SPELL interface has been provided through a collaboration with the SGD Colony at Princeton University. Special thanks to Peter Koppstein, Lance Parsons, and Kara Dolinski for help in implementing the dataset tag filtering option for SPELL at SGD.

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