
Over a two-month period, contributed to bioinformatics tooling by developing an end-to-end RNA velocity analysis pipeline for the K-Dense-AI/claude-scientific-skills repository, leveraging Python and scVelo for data loading, preprocessing, velocity estimation, and visualization. Enhanced reproducibility and transparency by providing comprehensive documentation for IQ-TREE 2 phylogenetic inference and implementing configurable, reusable scripts. In the bioconda/bioconda-recipes repository, extended RastQC with a new Rust-based package for Oxford Nanopore long-read quality control, integrating it into Bioconda to support reproducible QC workflows. Demonstrated strengths in RNA sequencing, package management, and collaborative documentation, focusing on scalable, maintainable solutions without reported bug fixes.
April 2026 — Bioconda/bioconda-recipes: Delivered RastQC Nanopore Long-Read Quality Control by introducing the rastqc-nanopore package to extend RastQC with long-read QC capabilities for Oxford Nanopore data. The feature was implemented under the commit 363921ac990700397f83f8c4acd4a33b49b2d5b3 (Add rastqc (#64738)).
April 2026 — Bioconda/bioconda-recipes: Delivered RastQC Nanopore Long-Read Quality Control by introducing the rastqc-nanopore package to extend RastQC with long-read QC capabilities for Oxford Nanopore data. The feature was implemented under the commit 363921ac990700397f83f8c4acd4a33b49b2d5b3 (Add rastqc (#64738)).
March 2026 monthly summary for K-Dense-AI/claude-scientific-skills. Focused on delivering a scalable RNA velocity analysis capability and improving methodological documentation, enabling faster, reproducible research workflows.
March 2026 monthly summary for K-Dense-AI/claude-scientific-skills. Focused on delivering a scalable RNA velocity analysis capability and improving methodological documentation, enabling faster, reproducible research workflows.

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