Related Experiment Video
Updated: Jan 30, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
Published on: January 16, 2019
Streamlined analysis of LINCS L1000 data with the slinky package for R
Eric J Kort1,2, Stefan Jovinge1
1DeVos Cardiovascular Research Program, Spectrum Health and Van Andel Research Institute, Grand Rapids, MI, USA.
Summary:
The L1000 dataset from the NIH LINCS program holds the promise to deconvolute a wide range of biological questions in transcriptional space. However, using this large and decentralized dataset presents its own challenges. The slinky package was created to streamline the process of identifying samples of interest and their corresponding control samples, and loading their associated expression data and metadata. The package can integrate with workflows leveraging the BioConductor collection of tools by encapsulating the L1000 data as a SummarizedExperiment object.
Availability And Implementation:
Slinky is freely available as an R package at http://bioconductor.org/packages/slinky.
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