Flatten splitCSV to fix output erro.

workflow/main.nf

@@ -319,6 +319,7 @@ process poolAndPsuedoReads {
 experimentRows = experimentPoolObjs
                 .collect()
                 .splitCsv(sep:'\t', header: true)
+                .flatten()
                 .map { row -> [ row.sample_id, row.tag_align, row.xcor, row.experiment_id, row.biosample, row.factor, row.treatment, row.replicate, row.control_id, row.control_tag_align] }
 
 // Call Peaks using MACS