
Developed and delivered the r-mocha 1.2.0 package for the bioconda/bioconda-recipes repository, enabling model-based chromatin analysis in single-cell ATAC-seq workflows. Focused on robust R programming and package management, the work included creating a Conda recipe that ensures compatibility with R dependencies and improves downstream integration. Addressed packaging lint conflicts by implementing run_exports pinning and refining selectors, which enhanced maintainability and continuous integration reliability. Enhanced testing commands using R and YAML to improve test coverage on Linux environments. This contribution streamlined deployment for genomics researchers, facilitating faster adoption and more reliable use of MOCHA in bioinformatics pipelines.
May 2026 monthly summary for bioconda/bioconda-recipes focusing on MOCHA 1.2.0 packaging for model-based chromatin analysis in single-cell ATAC-seq. Implemented a robust Conda recipe to ensure R dependency compatibility, enhanced testing commands for Bioconda, and resolved packaging lint conflicts to improve downstream usability and CI reliability. This work accelerates researchers' ability to deploy MOCHA in scATAC-seq workflows with fewer integration issues.
May 2026 monthly summary for bioconda/bioconda-recipes focusing on MOCHA 1.2.0 packaging for model-based chromatin analysis in single-cell ATAC-seq. Implemented a robust Conda recipe to ensure R dependency compatibility, enhanced testing commands for Bioconda, and resolved packaging lint conflicts to improve downstream usability and CI reliability. This work accelerates researchers' ability to deploy MOCHA in scATAC-seq workflows with fewer integration issues.

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