The Hello pipeline¶
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Most of our training courses use a simple domain-agnostic pipeline to demonstrate Nextflow concepts and mechanisms. The Hello Nextflow course shows how to develop this pipeline in a step-by step way that explains every design and implementation decision. Other trainings use this pipeline, or parts of it, as a starting point.
This page summarizes the state of the pipeline as it stands at the completion of the Hello Nextflow course.
Summary description¶
The Hello workflow takes a CSV file containing greetings, writes them to separate files, converts each to uppercase, collects them back together again and outputs a single text file containing an ASCII picture of a fun character saying the greetings.
Workflow steps (processes)¶
The four steps are implemented as Nextflow processes (sayHello, convertToUpper, collectGreetings, and cowpy) stored in separate module files.
sayHello: Writes each greeting to its own output file (e.g., "Hello-output.txt")convertToUpper: Converts each greeting to uppercase (e.g., "HELLO")collectGreetings: Collects all uppercase greetings into a single batch filecowpy: Generates ASCII art using thecowpytool
Diagram¶
Results¶
The results are published to a directory called results/, and the final output of the pipeline (when run with default parameters) is a plain text file containing ASCII art of a turkey saying the uppercased greetings.
_________
/ BONJOUR \
| HELLO |
\ HOLà /
---------
\ ,+*^^*+___+++_
\ ,*^^^^ )
\ _+* ^**+_
\ +^ _ _++*+_+++_, )
_+^^*+_ ( ,+*^ ^ \+_ )
{ ) ( ,( ,_+--+--, ^) ^\
{ (\@) } f ,( ,+-^ __*_*_ ^^\_ ^\ )
{:;-/ (_+*-+^^^^^+*+*<_ _++_)_ ) ) /
( / ( ( ,___ ^*+_+* ) < < \
U _/ ) *--< ) ^\-----++__) ) ) )
( ) _(^)^^)) ) )\^^^^^))^*+/ / /
( / (_))_^)) ) ) ))^^^^^))^^^)__/ +^^
( ,/ (^))^)) ) ) ))^^^^^^^))^^) _)
*+__+* (_))^) ) ) ))^^^^^^))^^^^^)____*^
\ \_)^)_)) ))^^^^^^^^^^))^^^^)
(_ ^\__^^^^^^^^^^^^))^^^^^^^)
^\___ ^\__^^^^^^))^^^^^^^^)\\
^^^^^\uuu/^^\uuu/^^^^\^\^\^\^\^\^\^\
___) >____) >___ ^\_\_\_\_\_\_\)
^^^//\\_^^//\\_^ ^(\_\_\_\)
^^^ ^^ ^^^ ^
You may encounter some variations in the specifics depending on the course the pipeline is featured in.

