bump to v3.2.0

.gitpod.yml

@@ -1,4 +1,4 @@
-image: nfcore/gitpod:dev
+image: nfcore/gitpod:latest
 tasks:
   - name: install current state of nf-core/tools and setup pre-commit
     command: |

CHANGELOG.md

@@ -1,14 +1,12 @@
 # nf-core/tools: Changelog
 
-## v3.2.0dev
+## [v3.2.0 - Pewter Pangolin](https://github.com/nf-core/tools/releases/tag/3.2.0) - [2025-01-27]
 
 ### Template
 
 - Remove automated release tweets ([#3419](https://github.com/nf-core/tools/pull/3419))
 - Update template components ([#3426](https://github.com/nf-core/tools/pull/3426))
 
-### Linting
-
 ### Modules
 
 - Modules created in pipelines "local" dir now use the full template ([#3256](https://github.com/nf-core/tools/pull/3256))

nf_core/pipeline-template/docs/output.md

@@ -15,7 +15,7 @@ The pipeline is built using [Nextflow](https://www.nextflow.io/) and processes d
 {% if fastqc -%}
 
 - [FastQC](#fastqc) - Raw read QC{% endif %}
-  {%- if multiqc -%}
+  {%- if multiqc %}
 - [MultiQC](#multiqc) - Aggregate report describing results and QC from the whole pipeline
   {%- endif %}
 - [Pipeline information](#pipeline-information) - Report metrics generated during the workflow execution
@@ -34,7 +34,7 @@ The pipeline is built using [Nextflow](https://www.nextflow.io/) and processes d
 </details>
 
 [FastQC](http://www.bioinformatics.babraham.ac.uk/projects/fastqc/) gives general quality metrics about your sequenced reads. It provides information about the quality score distribution across your reads, per base sequence content (%A/T/G/C), adapter contamination and overrepresented sequences. For further reading and documentation see the [FastQC help pages](http://www.bioinformatics.babraham.ac.uk/projects/fastqc/Help/).
-{%- endif -%}
+{%- endif %}
 
 {% if multiqc -%}
 
@@ -53,7 +53,7 @@ The pipeline is built using [Nextflow](https://www.nextflow.io/) and processes d
 [MultiQC](http://multiqc.info) is a visualization tool that generates a single HTML report summarising all samples in your project. Most of the pipeline QC results are visualised in the report and further statistics are available in the report data directory.
 
 Results generated by MultiQC collate pipeline QC from supported tools e.g. FastQC. The pipeline has special steps which also allow the software versions to be reported in the MultiQC output for future traceability. For more information about how to use MultiQC reports, see <http://multiqc.info>.
-{%- endif -%}
+{%- endif %}
 
 ### Pipeline information
 

setup.py

@@ -2,7 +2,7 @@
 
 from setuptools import find_packages, setup
 
-version = "3.2.0dev"
+version = "3.2.0"
 
 with open("README.md") as f:
     readme = f.read()