Assertive programming for R analysis pipelines
-
Updated
Apr 11, 2024 - R
Assertive programming for R analysis pipelines
PipiDABS: A Comprehensive and User-Friendly Pipeline for Downstream DNA Methylation Analysis of High-throughput Bisulfite Sequencing Data.
Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as modeling steps. Data scientists can use tools of their choice through an R interface, and compose interoperable pipelines between R, Spark, and Python.
code used in van Raaphorst, Kjos & Veening (2017), Chromosome segregation drives division site selection in Streptococcus pneumoniae, PNAS
Add a description, image, and links to the analysis-pipeline topic page so that developers can more easily learn about it.
To associate your repository with the analysis-pipeline topic, visit your repo's landing page and select "manage topics."