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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pone.0239189

https://doi.org/10.1371/journal.pone.0239189

Mining GWAS and eQTL data for CF lung disease modifiers by gene expression imputation

Cited by: 8
Author(s): Hong Dang, Deepika Polineni, Rhonda G. Pace, Jaclyn R. Stonebraker, Harriet Corvol, Garry R. Cutting, Mitchell L. Drumm, Lisa J. Strug, Wanda K. O’Neal, Michael R. Knowles
Published: over 4 years ago

Software Mentions 8

bioconductor: ComplexHeatmap
Make Complex Heatmaps
Papers that mentioned: 565
Very Likely Science (90)
bioconductor: fgsea
Fast Gene Set Enrichment Analysis
Papers that mentioned: 150
Very Likely Science (100)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: ggrepel
Automatically Position Non-Overlapping Text Labels with 'ggplot2'
Papers that mentioned: 164
Very Likely Science (100)
cran: MASS
Support Functions and Datasets for Venables and Ripley's MASS
Papers that mentioned: 2,353
Very Likely Science (100)
cran: qqman
Q-Q and Manhattan Plots for GWAS Data
Papers that mentioned: 273
Very Likely Science (100)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: qqman
Draws Manhattan plot and QQ plot using plink assoc output.
Papers that mentioned: 273
Very Likely Science (65)