bio-experimental-design-multiple-testing

Guides researchers in designing and optimizing experimental batches by providing strategies to minimize batch effects, randomize sample allocation, and ensure statistical validity in biological exp...

Guides AI agents in generating code for analyzing spatial transcriptomics and proteomics data, enabling computational mapping and integration of gene expression and protein localization within tiss...

Automates quality control and preprocessing of raw sequencing reads using fastp, performing adapter trimming, quality filtering, and generating comprehensive QC reports for genomic data.

Performs quality control and normalization of metabolomics data, handling batch effects, outlier detection, and data preprocessing to ensure reliable downstream analysis and interpretation of metab...

Performs automated clustering and phenotyping of flow cytometry data, identifying and characterizing distinct cell populations based on multi-parameter immunophenotyping measurements.

Identifies and quantifies DNA methylation patterns from sequencing data, enabling precise mapping of epigenetic modifications across genomic regions.

Performs quality control and preprocessing of ChIP-seq data, including read alignment assessment, peak calling validation, and signal-to-noise ratio evaluation.

bio-read-alignment-star-alignment skill from gptomics/bioskills

bio-genome-assembly-short-read-assembly skill from gptomics/bioskills

Guides AI agents through best practices for filtering and processing genetic variant calls, ensuring high-quality variant identification by applying rigorous statistical and computational filtering...