Can I download PDFs directly with this skill?

Yes, the skill provides specific tools and Python API methods to download full-text PDFs using paper DOIs.

Does this skill require a bioRxiv API key?

No, the skill utilizes the public bioRxiv API and does not require a personal API key for standard search and retrieval tasks.

What categories does the bioRxiv search support?

It supports all official bioRxiv categories, including genetics, neuroscience, bioinformatics, immunology, and over 20 other specialized fields.

Is it possible to track specific authors?

Yes, the skill allows you to filter searches by author name and specify a 'days-back' parameter to monitor recent publications from specific researchers.

How can I use this for a systematic literature review?

You can combine keyword searches with category filters and date ranges to generate a structured JSON file containing all relevant preprint metadata for your review.

BioRxiv Research Database

Name: BioRxiv Research Database
Author: Activer007

byActiver007

Ciencia de Datos y ML

Access and search the bioRxiv preprint server for life sciences research and automated full-text PDF retrieval.

Acerca de

This skill integrates bioRxiv database search capabilities directly into your workflow, allowing for efficient retrieval of life sciences preprints. It provides advanced filtering by keyword, author, category, and date, returning structured JSON metadata including titles, abstracts, DOIs, and citation info. Ideal for researchers and data scientists, it streamlines literature reviews, research trend analysis, and automated paper downloading for full-text analysis and data mining.

Características Principales

Python API for programmatic integration into research pipelines
0 GitHub stars
Subject category filtering across 25+ bioRxiv fields
Advanced search by keyword, author, and specific date ranges
Metadata retrieval including DOIs, abstracts, and citation details
Full-text PDF download and batch processing support

Casos de Uso

Tracking the latest publications and trends from specific authors or institutions
Conducting systematic literature reviews in specific research domains
Automating the collection of preprints for text mining and metadata analysis

Acerca de

Características Principales

Python API for programmatic integration into research pipelines
0 GitHub stars
Subject category filtering across 25+ bioRxiv fields
Advanced search by keyword, author, and specific date ranges
Metadata retrieval including DOIs, abstracts, and citation details
Full-text PDF download and batch processing support

Casos de Uso

Tracking the latest publications and trends from specific authors or institutions
Conducting systematic literature reviews in specific research domains
Automating the collection of preprints for text mining and metadata analysis