Extract TCR:pMHC specificity data into VDJdb-compatible TSV chunks.
npx skills add https://github.com/antigenomics/vdjdb-db --skill vdjdb-extract
Please help me install this Agent Skill. Skill: vdjdb-extract Source: https://github.com/antigenomics/vdjdb-db/tree/main/skills/vdjdb-extract Command: npx skills add https://github.com/antigenomics/vdjdb-db --skill vdjdb-extract
This Skill automates the extraction of TCR:pMHC specificity data from various source files and prepares VDJdb-formatted TSV chunks for further processing.
Run the /extract command with the path to your source files, e.g., /extract /path/to/source/directory.
High-intent search queries and answers about installing and using this skill.
To extract TCR:pMHC specificity data from research PDFs, you can use automated parsing to convert source documents into VDJdb-compatible TSV chunks. This handles multiple file types including PDFs for standardized sequence analysis formatting.
The best way to format sequence data into VDJdb TSV is by automating TCR:pMHC specificity record extraction from source files. This outputs standardized VDJdb-formatted TSV chunks ready for formatting and proofreading.
Yes, you can use pandas alongside openpyxl and regex to parse multiple file types for TCR:pMHC data. The extraction process supports source formats including PDF, XLS, and TSV files for comprehensive data processing.
Yes, VDJdb data extraction works with XLS files. It utilizes Python libraries like pandas and openpyxl to parse Excel spreadsheets and extract TCR:pMHC specificity data into VDJdb-compatible TSV chunks.
You prepare VDJdb-formatted TSV chunks by running an extraction command on your source directory. This automates parsing of TCR:pMHC specificity data from documents and outputs standardized chunks ready for further processing.
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