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Strong environmental memory revealed by experimental evolution in static and fluctuating environments

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.14.557739Source: DataRank Database

Strong environmental memory revealed by experimental evolution in static and fluctuating environments is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

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Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: greenTopics (17)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Shaili Mathur ORCID,Dmitri A. Petrov ORCID,Clare Abreu

Live enrichment

PubMed:37745585 OpenAlex:https://openalex.org/W4386815601

NIGMS NIH HHS

Grant: F32 GM145148

NIGMS NIH HHS

Grant: R35 GM118165

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/09/22/2023.09.14.557739.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.09.14.557739

repositoryhttps://doi.org/10.1101/2023.09.14.557739

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37745585

Fields of Study

Evolution and Genetic DynamicsEvolutionary Game Theory and CooperationGene Regulatory Network Analysis

Keywords

Fitness landscapeVariance (accounting)Genetic FitnessComponent (thermodynamics)Computer scienceLagBiologyMutationEvolutionary biologySelection (genetic algorithm)GeneticsArtificial intelligencePopulationPhysics

Sustainable Development Goals

SDG 0: Life in Land