Can I search for preprints within a specific time frame?

Yes, you can specify exact start and end dates or use the 'days-back' shortcut to find papers published within a specific recent window.

Can I integrate the search results into a data analysis pipeline?

Absolutely. The skill returns results in structured JSON format, which can be easily converted into CSV or Pandas DataFrames for downstream analysis.

Does this skill allow for bulk PDF downloading?

Yes, the tool includes scripts and Python API methods to download full-text PDFs based on DOIs retrieved from your search results.

What subject categories are supported for filtering?

The skill supports over 25 bioRxiv categories, including bioinformatics, genomics, neuroscience, synthetic biology, and animal behavior.

BioRxiv Database Search

Name: BioRxiv Database Search
Author: Activer007

byActiver007

Data Science & ML

Searches and retrieves life sciences preprints from bioRxiv using advanced filters and automated PDF downloading.

About

This skill provides specialized tools for interacting with the bioRxiv preprint server, allowing researchers and developers to conduct comprehensive literature reviews in the life sciences directly within Claude Code. It supports high-precision queries by keywords, authors, and specific subject categories, delivering structured metadata including abstracts, DOIs, and citation information. Whether you are tracking recent trends in genomics or automating the collection of research PDFs for machine learning analysis, this tool streamlines the process of accessing early-stage scientific publications.

Key Features

Automated PDF downloading for full-text research analysis
Metadata retrieval via DOI or author name tracking
Structured JSON output for seamless integration with data pipelines
Advanced keyword search across titles and abstracts
0 GitHub stars
Filtering by 25+ bioRxiv subject categories like genomics and neuroscience

Use Cases

Tracking the latest preprints from specific research labs or authors
Conducting systematic literature reviews for biological research projects
Building automated datasets for bioinformatics and AI model training

About

Key Features

Automated PDF downloading for full-text research analysis
Metadata retrieval via DOI or author name tracking
Structured JSON output for seamless integration with data pipelines
Advanced keyword search across titles and abstracts
0 GitHub stars
Filtering by 25+ bioRxiv subject categories like genomics and neuroscience

Use Cases

Tracking the latest preprints from specific research labs or authors
Conducting systematic literature reviews for biological research projects
Building automated datasets for bioinformatics and AI model training