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A common data format and inference environment for single-cell trajectories 📦

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dynverse/dynwrap

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dynwrap contains the code for a common model of single-celltrajectories. The package can:

  • Wrap the input data of a trajectory inference method, such asexpression and prior information
  • Run a trajectory inference method in R, in a docker container or asingularity container
  • Wrap the output of a trajectory inference method, such as thepseudotime, a clustering or a branch network, and convert it into acommon trajectory model
  • Further postprocess and adapt the trajectory model, such as labellingthe milestones and rooting the trajectory

Documentation and the API reference for dynwrap can be found at thedyvnerse documentation website:https://dynverse.org/ .

dynwrap was used to wrap 50+ trajectory inference method within dockercontainers indynmethods.

The advantage of using a common model is that it allows:

  • Comparison between a prediction and a gold standard, eg. usingdyneval
  • Comparing two predictions
  • Easily visualise the trajectory, eg. usingdynplot
  • Extracting relevant features/genes, eg. usingdynfeature

Latest changes

Check outnews(package = "dynwrap") orNEWS.md for a fulllist of changes.

Recent changes in dynwrap 1.2.5

  • BUG FIXconvert_definition(): Fix for purrr having deprecatedinvoke in favour ofexec (PR #166).

Recent changes in dynwrap 1.2.4

  • Resubmission after babelwhale was removed from CRAN.

  • MINOR CHANGE: Added@return documentation to all functions.

Dynverse dependencies

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A common data format and inference environment for single-cell trajectories 📦

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