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DiFlow
Introduction
Functional Reactive Programming (FRP)
FRP for pipelines
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NextFlow
Introduction
FRP in NextFlow
NextFlow DSL(2)
DiFlow
The NoPipeline approach
General Requirements and design principles
An abstract computation step
Toward implementation
Step by step
Step 1 - Operate on a *stream*
Step 2 - Operate on a stream in parallel
Step 3 - Operate on a stream using a `process`
Step 4 - How `map` is synchronous
Step 5 - Introduce an `ID`
Step 6 - Add a process parameter
Step 7 - Use a `Map` to store parameters
Step 8 - Use a `Map` with a process-key
Step 9 - Use a `ConfigMap` with a shell script
Step 10 - Running a *pipeline*
Step 11 - A more generic process
Step 12 - Map/reduce in NextFlow
Step 13 - Files as input/output
Step 14 - *Publishing* output
Step 15 - Make output files/paths unique
Step 16 - Where to put `params`?
Step 17 - Add the output file to `params`
Step 18 - Add the output filename to the triplet
Step 19 - Use a closure
Step 20 - The order of events in a stream
Step 21 - Is the *triplet* really necessary?
Step 22 - Toward generic processes
Step 23 - More than one input
Step 24 - `workflow` instead of `process`
Step 25 - Custom scripts
Step 26 - The missing link
Putting it all together
What is missing from DiFlow?
Parameter checks
Multiple output file references
Per-sample configuration
Appendix
Variables in `nextflow.config`
Reasons for an explicit *flow*
Resources
Default values
What is missing from DiFlow?
Table of contents
Parameter checks
Multiple output file references
Per-sample configuration