
During February 2026, Hannah Harris integrated HCMI data into the Celligner preprocessing pipeline within the broadinstitute/depmap-portal repository. She used Python and Pandas to expand the pipeline’s data coverage, enabling more comprehensive analysis of tumor and model expression data for bioinformatics research. Her work focused on enhancing the preprocessing data flow, which improved the reproducibility and robustness of downstream analyses. While the contribution was limited to a single feature over a one-month period, the integration addressed a specific need for broader data support in the workflow, demonstrating depth in data processing and a targeted approach to bioinformatics pipeline development.
February 2026 monthly summary for broadinstitute/depmap-portal. Key feature delivered: integrated HCMI data into the Celligner preprocessing pipeline, enabling enhanced analysis of tumor and model expression data. This integration strengthens the Celligner workflow by expanding data coverage and enabling more robust downstream analyses.
February 2026 monthly summary for broadinstitute/depmap-portal. Key feature delivered: integrated HCMI data into the Celligner preprocessing pipeline, enabling enhanced analysis of tumor and model expression data. This integration strengthens the Celligner workflow by expanding data coverage and enabling more robust downstream analyses.

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