GEO DataSets

(Submitter supplied) A collection of budding yeast wild types grown in parallel to 1,484 budding yeast deletion mutants to assess day-to-day variance. Related to series GSE42526 and GSE42527.

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL11232

755 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL11232

2633 Samples

Download data: TXT

(Submitter supplied) This dataset consists of 700 responsive mutants (four or more significant mRNA expression changes as a result of the deletion) from a gene expression profile compendium of 1,484 deletion mutants that have a role or are implicated in mRNA transcription regulation, mRNA turnover, signaling or are located in the nucleus.

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL11232

1387 Samples

Download data: TXT

(Submitter supplied) This dataset consists of 784 non-responsive mutants (three or less significant mRNA expression changes as a result of the deletion) from a gene expression profile compendium of 1,484 deletion mutants that have a role or are implicated in mRNA transcription regulation, mRNA turnover, signaling or are located in the nucleus.

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL11232

1246 Samples

Download data: TXT

(Submitter supplied) Contains a collection of wildtype matA Saccharomyces cerevisiae strains grown using a Tecan platereader for estimating the biological variation.

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL11232

20 Samples

Download data: TXT

(Submitter supplied) Contains a collection of wildtype matA Saccharomyces cerevisiae strains for estimating the biological variation.

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL11232

8 Samples

Download data: TXT

(Submitter supplied) Contains a collection of wildtype Saccharomyces cerevisiae strains for estimating the biological variation. Wildtypes are obtained from the yeast wildtypes – platereader, wt pool background set HybSet, by randomly taking 100 wt vs. refpool (pooled wts) and 100 refpool vs. wt hybridizations

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL11232

200 Samples

Download data: TXT

(Submitter supplied) Contains a collection of wildtype Saccharomyces cerevisiae strains for estimating the biological variation. Wildtypes are obtained from the yeast wildtypes - wt pool background set HybSet, by randomly taking 100 wt vs. refpool (pooled wts) and 100 refpool vs. wt hybridizations

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL11232

200 Samples

Download data: TXT

(Submitter supplied) Genotypic differences greatly influence susceptibility and resistance to disease. Understanding genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply as the result of individual genomic variations. Genome sequencing efforts have identified numerous germline mutations associated with cancer predisposition and large numbers of somatic genomic alterations. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL15648

449 Samples

Download data: CEL

(Submitter supplied) Purpose: The ability to rationally manipulate the transcriptional states of cells would be of great use in medicine and bioengineering. We have developed a novel algorithm, NetSurgeon, which utilizes genome-wide gene regulatory networks to identify interventions that force a cell toward a desired expression state. Results: We used NetSurgeon to select transcription factor deletions aimed at improving ethanol production in S. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL13272 GPL17342 GPL13821

90 Samples

Download data: CUFF, TXT

(Submitter supplied) Background: The impact of genetic interaction networks on evolution is a fundamental issue. Previous studies have demonstrated that the topology of the network is determined by the properties of the cellular machinery. Functionally related genes frequently interact with one another, and they establish modules, e.g., modules of protein complexes and biochemical pathways. In this study, we experimentally tested the hypothesis that compensatory evolutionary modifications, such as mutations and transcriptional changes, occur frequently in genes from perturbed modules of genetically interacting genes. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL16244

17 Samples

Download data: TXT