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86 results for “Epistasis”

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dryad28/100

Data from: The Red Queen lives: epistasis between linked resistance loci

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publicJan 2016View details →
dryad28/100

Data from: Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysis

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publicNov 2017View details →
dryad28/100

Data from: Plasticity and epistasis strongly affect bacterial fitness after losing multiple metabolic genes

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publicMar 2015View details →
dryad28/100

Data from: Sign epistasis limits evolutionary trade-offs at the confluence of single- and multi-carbon metabolism in Methylobacterium extorquens AM1

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publicOct 2013View details →
dryad28/100

Data from: Fixation of mutators in asexual populations: the role of genetic drift and epistasis

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publicOct 2012View details →
dryad28/100

Data from: Epistasis between antibiotic resistance mutations and genetic background shape the fitness effect of resistance across species of Pseudomonas

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publicApr 2016View details →
geo24/100

Extreme positive epistasis for fitness in monosomic yeast strains - part 2

GEO Series GSE276940. Saccharomyces cerevisiae. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2024View details →
geo24/100

Incipient speciation by divergent adaptation and antagonistic epistasis in yeast

GEO Series GSE6870. Saccharomyces cerevisiae. 8 samples. Type: Expression profiling by array.

openGEO-OpenJun 2007View details →
geo24/100

Widespread genetic epistasis among cancer genes.

GEO Series GSE58834. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2014View details →
geo24/100

Extreme positive epistasis for fitness in monosomic yeast strains - part 1

GEO Series GSE217944. Saccharomyces cerevisiae. 27 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2024View details →
geo24/100

Cryptic variation fuels plant phenotypic change through hierarchical epistasis

GEO Series GSE289537. Solanum lycopersicum. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2025View details →
geo24/100

ITPK1 sensitizes tumor cells to IgA-dependent neutrophil killing in vivo [CRISPR Epistasis]

GEO Series GSE273585. Mus musculus. 18 samples. Type: Other.

openGEO-OpenOct 2024View details →
geo24/100

Combinatorial in vivo genome editing identifies widespread epistasis and an accessible fitness landscape during lung tumorigenesis

GEO Series GSE281604. Mus musculus. 74 samples. Type: Other.

openGEO-OpenJan 2025View details →
geo24/100

Mitochondrial - Y Chromosome Epistasis in Drosophila melanogaster

GEO Series GSE155395. Drosophila melanogaster. 72 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2020View details →
geo24/100

Epistasis between TIFAB and miR-146a, neighboring genes in del(5q) MDS

GEO Series GSE87453. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2016View details →
geo24/100

Epistasis analysis of Runx1 and Gata1 over HoxA3 in hemogenic endothelium

GEO Series GSE25079. Mus musculus. 12 samples. Type: Expression profiling by array.

openGEO-OpenDec 2010View details →
dryad24/100

Data from: Selection biases the prevalence and type of epistasis along adaptive trajectories

The contribution to an organism's phenotype from one genetic locus may depend upon the status of other loci. Such epistatic interactions among loci are now recognized as fundamental to shaping the process of adaptation in evolving populations. Although little is known about the structure of epistasis in most organisms, recent experiments with bacterial populations have concluded that antagonistic interactions abound and tend to de-accelerate the pace of adaptation over time. Here, we use the NK model of fitness landscapes to examine how natural selection biases the mutations that substitute during evolution based on their epistatic interactions. We find that, even when beneficial mutations are rare, these biases are strong and change substantially throughout the course of adaptation. In particular, epistasis is less prevalent than the neutral expectation early in adaptation and much more prevalent later, with a concomitant shift from predominantly antagonistic interactions early in adaptation to synergistic and sign epistasis later in adaptation. We observe the same patterns when re-analyzing data from a recent microbial evolution experiment. These results show that when the order of substitutions is not known, standard methods of analysis may suggest that epistasis retards adaptation when in fact it accelerates it.

opencc-zeroDec 2012View details →
geo24/100

Congenic dissection of a major QTL for methamphetamine sensitivity implicates epistasis

GEO Series GSE35139. Mus musculus. 28 samples. Type: Expression profiling by array.

openGEO-OpenJan 2012View details →
dryad24/100

Data from: Positive epistasis drives the acquisition of multidrug resistance.

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publicFeb 2013View details →
dryad24/100

Data from: Direct and indirect genetic effects of sex-specific mitonuclear epistasis on reproductive ageing

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publicNov 2015View details →

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Allen Brain Atlas

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DANDI Archive for NWB datasets

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

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Last verified 2026-04-29Open record

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