Can I search for preprints within specific biological categories?

Yes, the skill supports over 25 bioRxiv categories including genomics, neuroscience, and immunology to ensure high-precision results.

Is it possible to use this skill for trend analysis?

Yes, by utilizing date range searches and keyword analysis on the structured JSON output, you can track the frequency and evolution of research topics over time.

Does this skill allow for downloading the actual research papers?

Absolutely. You can download full-text PDFs by providing the paper's DOI or as part of a batch processing workflow within the Python environment.

Can I track recent publications from a specific author?

Yes, the skill includes a dedicated author search capability with date filtering to monitor specific researchers or labs.

What kind of data does the search return?

It returns structured JSON metadata including the title, full abstract, author list, publication date, DOI, and version information.

BioRxiv Database Search

Name: BioRxiv Database Search
Author: Microck

byMicrock

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データサイエンスとML

Facilitates efficient searching and retrieval of life sciences preprints from the bioRxiv database using keywords, authors, and DOI metadata.

概要

The BioRxiv Database skill provides a robust Python-powered interface for researchers and developers to navigate the bioRxiv preprint server directly within Claude. It enables complex queries across titles and abstracts, allows for filtering by specific life science categories, and automates the retrieval of detailed paper metadata including DOIs and citation info. Whether you are performing a systematic literature review, tracking recent publications by specific authors, or downloading PDFs for full-text analysis, this skill streamlines the data collection process for bioinformatics and medical research workflows.

主な機能

Comprehensive search by keywords, authors, date ranges, and subject categories
Automated PDF downloading for full-text analysis and local storage
81 GitHub stars
Specific paper retrieval via DOI or DOI URL lookup
Structured JSON output containing titles, abstracts, DOIs, and citation metadata
Temporal trend analysis support with flexible date range and days-back filtering

ユースケース

Conducting systematic literature reviews in specific fields like genomics or neuroscience
Building datasets of recent life sciences research for text mining or machine learning analysis
Automating the tracking of new preprint publications from specific research labs or authors

概要

主な機能

Comprehensive search by keywords, authors, date ranges, and subject categories
Automated PDF downloading for full-text analysis and local storage
81 GitHub stars
Specific paper retrieval via DOI or DOI URL lookup
Structured JSON output containing titles, abstracts, DOIs, and citation metadata
Temporal trend analysis support with flexible date range and days-back filtering

ユースケース

Conducting systematic literature reviews in specific fields like genomics or neuroscience
Building datasets of recent life sciences research for text mining or machine learning analysis
Automating the tracking of new preprint publications from specific research labs or authors