Implement nf-schema in pipeline

CHANGELOG.md

@@ -13,6 +13,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - [[PR #444](https://github.com/nf-core/chipseq/pull/444)] - Add empty map to ch_gff so that when provided by the user `GFFREAD` works.
 - [[#451](https://github.com/nf-core/chipseq/issues/451)] - Pass `map.single_read` to `SUBREAD_FEATURECOUNTS` as to correctly set parameter `-p`.
 - [[PR #462](https://github.com/nf-core/chipseq/pull/462)] - Updated pipeline template to [nf-core/tools 3.2.1](https://github.com/nf-core/tools/releases/tag/3.2.1)
+- [[#468](https://github.com/nf-core/chipseq/issues/468)] - Changed bigWig generation to use `-bga` option instead of `-bg` in `bedtools genomecov` for lower background levels and better IGV visualization. Users can revert to previous behavior using configuration. See [documentation](https://nf-co.re/chipseq/dev/docs/output/#normalised-bigwig-files) for details.
 
 ### Parameters
 

conf/modules.config

@@ -453,7 +453,21 @@ process {
     }
 
     withName: '.*:BAM_BEDGRAPH_BIGWIG_BEDTOOLS_UCSC:BEDTOOLS_GENOMECOV' {
-        ext.args   = { (meta.single_end && params.fragment_size > 0) ? "-fs ${params.fragment_size}" : '' }
+        ext.args   = {
+            def args = []
+            // Include fragment size only for single-end data
+            if (meta.single_end && params.fragment_size > 0) {
+                args << "-fs ${params.fragment_size}"
+            }
+            // Add paired-end correction for paired-end data
+            if (!meta.single_end) {
+                args << "-pc"
+            }
+            // Use -bga instead of -bg to include zero-coverage bins
+            // This results in lower background levels and better IGV visualization
+            args << "-bga"
+            return args.join(' ')
+        }
         ext.prefix = { "${meta.id}.mLB.clN" }
         publishDir = [
             [

docs/output.md

@@ -147,6 +147,17 @@ The [Preseq](http://smithlabresearch.org/software/preseq/) package is aimed at p
 
 The [bigWig](https://genome.ucsc.edu/goldenpath/help/bigWig.html) format is in an indexed binary format useful for displaying dense, continuous data in Genome Browsers such as the [UCSC](https://genome.ucsc.edu/cgi-bin/hgTracks) and [IGV](http://software.broadinstitute.org/software/igv/). This mitigates the need to load the much larger BAM files for data visualisation purposes which will be slower and result in memory issues. The coverage values represented in the bigWig file can also be normalised in order to be able to compare the coverage across multiple samples - this is not possible with BAM files. The bigWig format is also supported by various bioinformatics software for downstream processing such as meta-profile plotting.
 
+> [!IMPORTANT]
+> As of v2.3.0, the pipeline uses the `-bga` option in `bedtools genomecov` instead of `-bg`. This includes zero-coverage bins in the output, resulting in lower background levels and better visualization in IGV. Users who prefer the previous behavior can override this by adding `-bg` to the `ext.args` parameter in their configuration:
+>
+> ```groovy
+> process {
+>     withName: '.*:BAM_BEDGRAPH_BIGWIG_BEDTOOLS_UCSC:BEDTOOLS_GENOMECOV' {
+>         ext.args = '-bg'
+>     }
+> }
+> ```
+
 ### ChIP-seq QC metrics
 
 <details markdown="1">

modules.json

@@ -5,6 +5,11 @@
         "https://github.com/nf-core/modules.git": {
             "modules": {
                 "nf-core": {
+                    "bedtools/genomecov": {
+                        "branch": "master",
+                        "git_sha": "41dfa3f7c0ffabb96a6a813fe321c6d1cc5b6e46",
+                        "installed_by": ["modules"]
+                    },
                     "bowtie2/align": {
                         "branch": "master",
                         "git_sha": "9bfc81874554e87740bcb3e5e07acf0a153c9ecb",