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BioGRID: a general repository for interaction datasets
TLDR
BioGRID is a freely accessible database of physical and genetic interactions that includes >116 000 interactions from Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster and Homo sapiens.
Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry
TLDR
Comparison of the HMS-PCI data set with interactions reported in the literature revealed an average threefold higher success rate in detection of known complexes compared with large-scale two-hybrid studies.
Systematic Genetic Analysis with Ordered Arrays of Yeast Deletion Mutants
TLDR
A method for systematic construction of double mutants, termed synthetic genetic array (SGA) analysis, in which a query mutation is crossed to an array of ∼4700 deletion mutants is developed, which should produce a global map of gene function.
The BioGRID Interaction Database: 2011 update
TLDR
The BioGRID 3.0 web interface contains new search and display features that enable rapid queries across multiple data types and sources that enable insights into conserved networks and pathways that are relevant to human health.
The BioGRID Interaction Database: 2008 update
TLDR
A number of new features have been added to the BioGRID including an improved user interface to display interactions based on different attributes, a mirror site and a dedicated interaction management system to coordinate curation across different locations.
A dynamic transcriptional network communicates growth potential to ribosome synthesis and critical cell size.
TLDR
It is suggested that nutrient signals set the critical cell-size threshold via Sfp1 and Sch9-mediated control of ribosome biosynthetic rates.
The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes
TLDR
It is found that 97% of gene deletions exhibited a measurable growth phenotype, suggesting that nearly all genes are essential for optimal growth in at least one condition.
The BioGRID interaction database: 2015 update
TLDR
The BioGRID architecture has been improved to support a broader range of interaction and post-translational modification types, to allow the representation of more complex multi-gene/protein interactions, to account for cellular phenotypes through structured ontologies, to expedite curation through semi-automated text-mining approaches, and to enhance curation quality control.
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