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An R package for performing principal component analysis (PCA) of genomics data. The package performs PCA, generates the publication-ready plots, and identifies population-specific outlier individuals. The package can be accessed on GitHub: https://github.com/Devashish13/PopulationStructure47 days ago
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List of Bioinformatics Software Tools for Next Generation Sequencing
...p program; GeneVetter uses GRch37p4 (hs37d5.fa.gz), dbSNP build 138, 1000G Phase 3, clinvar_2014072 Input: VCF Output: TIMS score, summary table, PCA plot GSITIC Descripti...2914 days ago
Webinar on RNA-Seq Data Analysis on 28 Feb 2018
...ports novel discovery like identification of novel genes, exons and novel splice junctions.We will highlight the use of Strand NGS features such as PCA, sample correlation, clusteri...2269 days ago
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- An R package for performing principal component analysis (PCA) of genomics data. The package performs PCA, generates the publication-ready plots, and identifies population-specific outlier individuals. The package can be accessed on GitHub: https://github.com/Devashish13/PopulationStructure
Tags: PCA, R, Package, Tool
47 days ago
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Comment on "R and Bioconductor Tutorial"
Introduction to Feature selection for bioinformaticians using R, correlation matrix filters, PCA & backward selection http://computationalproteomic.blogspot.co.uk/2013/10/introduction-to-feature-selection-for.html?3857 days ago
