pcr: an R package for quality assessment, analysis and testing of qPCR data (Source) (CRAN)
target: An R Package to Predict Combined Function of Transcription Factors (Source) (Bioconductor)
colocr: an r package for conducting co-localization analysis on fluorescence microscopy images (Source) (CRAN)
cRegulome: An R package for accessing microRNA and transcription factor-gene expression correlations in cancer (Source) (CRAN)
chromhmmData: Chromosome Size, Coordinates and Anchor Files (Source) (Bioconductor)
segmentr: Perform Chromatin Segmentation Analysis in R by Calling ChromHMM (Source) (Bioconductor)
Shiny Apps
LINPSAPP: A database for cancer cell-specific perturbations of biological networks (Source) (Shinyapps.io)
target_app: A Shinyapp Predict Combined Function of Transcription Factors (Source) (Shinyapps.io)
colocr_app: A shiny app for conducting co-localization analysis. (Source) (Shinyapps.io)
miRCancerdb: A database for microRNA-gene/protein expression correlation in cancer (Source) (Shinyapps.io)
Datasets
ObMiTi: A MusMus Dataset of Ob/ob and WT mice on different diets (Source) (Bioconductor)
curatedAdipoArray: A Curated Microarrays Dataset of MDI-induced Differentiated Adipocytes (3T3-L1) Under Genetic and Pharmacological Perturbations (Source) (Bioconductor)
curatedAdipoChIP: A Curated ChIP-Seq Dataset of MDI-induced Differentiated Adipocytes (3T3-L1) (Source) (Bioconductor)
curatedAdipoRNA: A Curated RNA-Seq Dataset of MDI-induced Differentiated Adipocytes (3T3-L1) (Source) (Bioconductor)
