38 research outputs found
YeastMine--an integrated data warehouse for Saccharomyces cerevisiae data as a multipurpose tool-kit.
The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org/) provides high-quality curated genomic, genetic, and molecular information on the genes and their products of the budding yeast Saccharomyces cerevisiae. To accommodate the increasingly complex, diverse needs of researchers for searching and comparing data, SGD has implemented InterMine (http://www.InterMine.org), an open source data warehouse system with a sophisticated querying interface, to create YeastMine (http://yeastmine.yeastgenome.org). YeastMine is a multifaceted search and retrieval environment that provides access to diverse data types. Searches can be initiated with a list of genes, a list of Gene Ontology terms, or lists of many other data types. The results from queries can be combined for further analysis and saved or downloaded in customizable file formats. Queries themselves can be customized by modifying predefined templates or by creating a new template to access a combination of specific data types. YeastMine offers multiple scenarios in which it can be used such as a powerful search interface, a discovery tool, a curation aid and also a complex database presentation format. DATABASE URL: http://yeastmine.yeastgenome.org
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The Gene Ontology in 2010: extensions and refinements
The Gene Ontology (GO) Consortium (http://www.geneontology.org) (GOC) continues to develop,
maintain and use a set of structured, controlled
vocabularies for the annotation of genes, gene
products and sequences. The GO ontologies
are expanding both in content and in structure.
Several new relationship types have been introduced
and used, along with existing relationships,
to create links between and within the GO domains.
These improve the representation of biology,
facilitate querying, and allow GO developers to systematically
check for and correct inconsistencies
within the GO. Gene product annotation using GO
continues to increase both in the number of total
annotations and in species coverage. GO tools,
such as OBO-Edit, an ontology-editing tool, and
AmiGO, the GOC ontology browser, have seen
major improvements in functionality, speed and
ease of use.This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by Oxford University Press. The published article can be found at: http://nar.oxfordjournals.org/
H3K4me3 Breadth Is Linked to Cell Identity and Transcriptional Consistency.
Trimethylation of histone H3 at lysine 4 (H3K4me3) is a chromatin modification known to mark the transcription start sites of active genes. Here, we show that H3K4me3 domains that spread more broadly over genes in a given cell type preferentially mark genes that are essential for the identity and function of that cell type. Using the broadest H3K4me3 domains as a discovery tool in neural progenitor cells, we identify novel regulators of these cells. Machine learning models reveal that the broadest H3K4me3 domains represent a distinct entity, characterized by increased marks of elongation. The broadest H3K4me3 domains also have more paused polymerase at their promoters, suggesting a unique transcriptional output. Indeed, genes marked by the broadest H3K4me3 domains exhibit enhanced transcriptional consistency rather than increased transcriptional levels, and perturbation of H3K4me3 breadth leads to changes in transcriptional consistency. Thus, H3K4me3 breadth contains information that could ensure transcriptional precision at key cell identity/function genes. Cell 2014 Jul 31; 158(3):673-88