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Chapter 10: Mining Genome-Wide Genetic Markers

UNC Libraries(2020)10.17615/53pz-a518Source: DataRank Database

Chapter 10: Mining Genome-Wide Genetic Markers is a research paper published in UNC Libraries (2020). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)Impact (FWCI 0.00)OA: greenTopics (20)IDs (PubMed, OpenAlex)

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 (4)

Zhaojun Zhang ORCID,Xiang Zhang ORCID,Shun‐Ping Huang ORCID,Wei Wang ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4300424831

National Science Foundation

Grant: 1162369

III: Medium: Collaborative Research: Toward Robust and Scalable Discovering of Significant Associations in Massive Genetic Data

National Institutes of Health

Grant: 5P50GM076468-05

Core--Computational

National Science Foundation

Grant: 0812464

III-Core: Discovering and Exploring Patterns in Subspaces

Wellcome Trust

Grant: unidentified

unidentified

FWCI

0.00

Citation Percentile

0.3%

greenLicense: CC BY

repositoryhttps://doi.org/10.17615/53pz-a518

https://doi.org/10.1371/journal.pcbi.1002828

https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1002828&type=printable

https://dx.doi.org/10.17615/53pz-a518

https://pubmed.ncbi.nlm.nih.gov/23300418

Fields of Study

Nutrition, Genetics, and DiseaseGenetic and phenotypic traits in livestock0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

GenomeBiologyComputational biologyGeneticsEvolutionary biologyGeneGenetic MarkersModels, GeneticQH301-705.5HumansInformation Storage and RetrievalBiology (General)AlgorithmsEducationGenome-Wide Association Study