wanglabcsu.r-universe.dev

[bioc] faers 1.9.0

yunyunp96@163.com (Yun Peng) — Tue, 28 Apr 2026 13:02:22 GMT

The FDA Adverse Event Reporting System (FAERS) is a database used for the spontaneous reporting of adverse events and medication errors related to human drugs and therapeutic biological products. faers pacakge serves as the interface between the FAERS database and R. Furthermore, faers pacakge offers a standardized approach for performing pharmacovigilance analysis.

[wanglabcsu] blit 0.2.0.9000

yunyunp96@163.com (Yun Peng) — Tue, 17 Mar 2026 16:11:24 GMT

An all-encompassing R toolkit designed to streamline the process of calling various bioinformatics software and then performing data analysis and visualization in R. With 'blit', users can easily integrate a wide array of bioinformatics command line tools into their workflows, leveraging the power of R for sophisticated data manipulation and graphical representation.

[wanglabcsu] geokit 0.0.1.9000

yunyunpp96@outlook.com (Yun Peng) — Fri, 06 Feb 2026 14:00:24 GMT

Provides a tidy and fast R interface to the NCBI Gene Expression Omnibus (GEO) database. Functions are included to query, download, and parse GEO metadata and expression data, making it easier to integrate GEO datasets into downstream analyses and workflows.

[wanglabcsu] bregr 1.4.0

w_shixiang@163.com (Shixiang Wang) — Sun, 18 Jan 2026 07:29:22 GMT

Easily processes batches of univariate or multivariate regression models. Returns results in a tidy format and generates visualization plots for straightforward interpretation (Wang, Shixiang, et al. (2025) ).

[wanglabcsu] mire 0.0.1.9000

yunyunp96@163.com (Yun Peng) — Fri, 18 Jul 2025 02:30:08 GMT

An integrated framework for microbiome reconstruction from sequencing data. It leverages tools like Kraken2 for taxonomic classification and combines cell barcodes, UMIs, and k-mer-based quantification to reconstruct microbial signals. Designed for both bulk and single-cell sequencing data, the package enables taxonomic and quantitative profiling of microbial communities.