nucleic-acid-analysis

To extract RNA quantification data, this Skill reads Metadata.xlsx and TapeStation CSV files from experiment folders. It normalizes varying column names and handles non-numeric sentinel values like 'TL', '/', and '-' to provide reliable Qubit and TapeStation concentrations.

RNA quantification extraction often fails due to variations in column names across different assays. This Skill normalizes differing column names automatically, ensuring accurate data extraction from Qubit and TapeStation files even when headers vary between experiments.

To handle non-numeric sentinel values in TapeStation CSV data, this Skill automatically interprets values like 'TL', '/', and '-'. This ensures non-numeric entries do not break the RNA quantification extraction process and are correctly accounted for.

Yes, you can extract Qubit concentrations for scRNA-seq libraries from OneDrive folders using this Skill. Built with pandas and pathlib, it reads experiment files to automate RNA quantification data extraction for scRNA-seq and scTIP-seq libraries.

The best way to compare RNA yields across different IVT experiments is to use this Skill to extract and normalize Qubit data. It standardizes RNA quantification measurements from various experiment folders, allowing direct and reliable yield comparisons.