Searches and retrieves life sciences preprints from the bioRxiv database using keywords, authors, and DOIs.
The bioRxiv Database skill enables researchers and developers to programmatically access the bioRxiv preprint server to discover the latest findings in life sciences. It provides powerful Python-based tools for filtering papers by subject categories, date ranges, and authors, delivering structured JSON metadata that includes abstracts and citation info. Whether conducting literature reviews or building automated research pipelines, this skill streamlines the process of tracking scientific trends and downloading full-text PDFs for deep analysis.
Key Features
010 GitHub stars
02Batch processing and temporal trend analysis support
03Advanced search by keyword, author, and date range
04Filtering by 25+ specific bioRxiv subject categories
05Direct PDF download capabilities for full-text analysis
06Metadata retrieval in structured JSON format (DOI, abstract, authors)
Use Cases
01Automating author tracking to stay updated on specific research groups
02Building data pipelines for computational chemistry or bioinformatics analysis
03Conducting systematic literature reviews in specific biological fields
