geokit - Tools for Accessing and Working with the Gene Expression Omnibus (GEO)
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.
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rustcargo
5.00 score 5 stars 6 scripts
bregr - Easy and Efficient Batch Processing of Regression Models
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) <DOI:10.1002/mdr2.70028>).
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7.33 score 15 stars 19 scripts 231 downloads
blit - Bioinformatics Library for Integrated Tools
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.
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bioinformaticscommand-line
6.28 score 20 stars 2 dependents 6 scripts 203 downloadsfaers - R interface for FDA Adverse Event Reporting System
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.
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softwaredataimportbiomedicalinformaticspharmacogenomicsadverse-eventsdrug-safetyfaersfaers-procedurepharmacovigilancesignal-detection
6.19 score 47 stars 11 scripts 346 downloadsmire - Microbiome Integrated Reconstruction and Estimation
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.
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rustcargo
3.30 score 4 stars 3 scripts