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The tempo and mode of human knowledge expansion is an enduring yet poorly understood topic. Through a temporal network analysis of three decades of discoveries of protein interactions and genetic interactions in baker's yeast, we show that the growth of scientific knowledge is exponential over time and that important subjects tend to be studied earlier. However, expansions of different domains of knowledge are highly heterogeneous and episodic such that the temporal turnover of knowledge hubs is much greater than expected by chance. Familiar subjects are preferentially studied over new subjects, leading to a reduced pace of innovation. While research is increasingly done in teams, the number of discoveries per researcher is greater in smaller teams. These findings reveal collective human behaviors in scientific research and help design better strategies in future knowledge exploration.
Pubmed ID: 19300476
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This database contains different yeast strains searchable by ORF and gene name, and serves to support the Yeast Deletion and the Mitochondrial Proteomics Project. The database is hyperlinked with other public databases. The project aims to increase the understanding of mitochondrial function and biogenesis in the context of the cell. In the Deletion Project, strains from the deletion collection were monitored under 9 different media conditions selected for the study of mitochondrial function. 5791 heterozygous diploid and 4706 homozygous diploid deletion strains were monitored in parallel using molecular barcodes on fermentable (YPD, YPDGE) and non-fermentable substrates (YPG, YPE, YPL). The YDPM database contains both the raw data and growth rates calculated for each strain in each media condition. Strains can be searched by ORF or Gene name to access growth measurements and data plots for each strain. Category: Genomics Databases (non-vertebrate) Subcategory: Fungal genome databases Category: Organelle databases Subcategory: Mitochondrial genes and proteins
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