Nextflow good first issues

AI Summary: This issue proposes adding a new visualization to the MultiQC report that displays taxonomic classifications of contigs. The goal is to have a stacked bar chart similar to existing read-level classifications, ideally incorporating a metric for completeness.

AI Summary: This issue proposes adding support for Metabuli, a tool that classifies metagenomic reads by comparing them to reference genomes using both amino acid and nucleotide comparisons. The goal is to integrate this functionality into the existing project.

AI Summary: This issue requires updating nf-core modules used in nf-core/eager to include a 'versions' topic. Some modules can be updated automatically using `nf-core modules update`, while others may require manual intervention or upstream fixes.

AI Summary: The user is inquiring if the nf-core/smrnaseq pipeline supports the analysis of small RNA biotypes beyond miRNAs, such as piRNAs, tRNAs, and rRNAs. They are seeking guidance on how to perform such analyses if supported, or recommendations for alternative workflows if not.

AI Summary: This issue proposes packaging additional functions from the blobtoolkit library, specifically `blobtoolkit/blobdir` and `blobtoolkit/windowstats`, as individual nf-core modules. This would allow users to leverage these specific tools within their own Nextflow pipelines without needing to run the entire sanger-tol pipeline.

AI Summary: The user wants to enable the nf-co2footprint plugin by default in machine configuration profiles. A test is currently preventing this, citing that plugin definitions are only allowed at the top-most config scope. The user is questioning the reasoning behind this restriction and seeking a way to include plugins in their desired configuration.

AI Summary: This issue proposes to standardize the naming convention of normalized variant files generated by different tools. Currently, one tool outputs files with a '.normalised.vcf.gz' suffix, while another uses '.norm.vcf.gz'. The suggested solution is to adjust the configuration of the latter tool to match the former's naming.

AI Summary: This issue is part 5 of a larger effort to adopt topic channels across all nf-core modules. It lists a significant number of modules that need to be updated to use topic channels, indicating a systematic refactoring task. The goal is to improve the organization and maintainability of the nf-core modules.

AI Summary: This feature request aims to expand the capabilities of scverse-related modules within the nf-core/modules repository. Currently, these modules only support the h5ad file format for input and output. The user proposes adding support for the zarr file format, which has seen significant improvements in recent development.

AI Summary: This issue reports a discrepancy in minimum quality filtering between the IVAR and mpileup masking steps within the viralrecon pipeline. The user points to specific configuration lines where these minimum quality values are set, suggesting they should be unified for consistent masking. This is a bug that could lead to inconsistent variant calling or masking results.