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Sequencing of the entire yeast genome has made it possible to generate a library of knock-out mutants for nearly every gene in the genome. These molecularly bar-coded mutants greatly facilitate high-throughput epistasis studies, as they can be pooled and used to generate the necessary double mutants. Both SGA and dSLAM approaches rely on these ...
In the 1990s, few genes were known and analysed by scientists until the first genomic analysis was performed by a team of the Pasteur Institute of Paris. [2] The genome Kluyveromyces lactis was explored by sequencing 588 short tags from two random genomic libraries (random sequenced tags, or RSTs). 296 K. lactis genes were identified of which 292 were new.
The yeast deletion project, formally the Saccharomyces Genome Deletion Project, is a project to create data for a near-complete collection of gene-deletion mutants of the yeast Saccharomyces cerevisiae. Each strain carries a precise deletion of one of the genes in the genome. This allows researchers to determine what each gene does by comparing ...
Within this complex, two categories are defined based on the presence in certain taxa of a whole-genome duplication event: the two clades are referred to as pre-Whole Genome Duplication (WGD) and post-WGD. Kluyveromyces species are affiliated with the first of this clades while species of Saccharomyces belong to the latter. Separation of these ...
Synthetic genetic array analysis is generally conducted using colony arrays on petriplates at standard densities (96, 384, 768, 1536). To perform a SGA analysis in S.cerevisiae, the query gene deletion is crossed systematically with a deletion mutant array (DMA) containing every viable knockout ORF of the yeast genome (currently 4786 strains). [9]
The yeast genome is highly accessible to manipulation, hence it is an excellent model for genome engineering. The international Synthetic Yeast Genome Project (Sc2.0 or Saccharomyces cerevisiae version 2.0 ) aims to build an entirely designer, customizable, synthetic S. cerevisiae genome from scratch that is more stable than the wild type.
Examples of pooled knock-out libraries, AddGene [128] Library ID Species PI Genes targeted gRNAs per gene Total gRNAs Bassik Mouse CRISPR Knockout Library 1000000121–1000000130 Mouse Bassik Varies (~23,000 in total) ~10 Varies Mouse Tumor Suppressor Gene CRISPR Knockout Library 113584 EFS backbone. 113585 TBG backbone. Mouse Chen 56 ~4 286
KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances.KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.