ai4nucleome/BioMaster

113Stars on the repository
199Mods indexed here, across every type
2mo agoLast push, which is what freshness is scored on
noneNo LICENSE: all rights reserved, so bodies are not copied

bioskills-data-io

25

ai4nucleome/BioMaster

Skill OpenCode

Read, write, create, merge, and convert single-cell data objects (AnnData/Scanpy and Seurat) for downstream analysis.

not rated 113 +1 2mo ago A 34 tokens

ai4nucleome/BioMaster

Skill OpenCode

Sequence-based deep learning (chromBPNet, tangermeme, TF-MoDISco) for ATAC-seq: Tn5 bias correction, variant effect prediction, and de novo motif discovery.

not rated 113 +1 2mo ago A 49 tokens

ai4nucleome/BioMaster

Skill OpenCode

Choose and produce publication-quality 2D dimensionality-reduction plots (PCA, t-SNE, UMAP, PHATE) with deliberate hyperparameters and honest interpretation limits.

not rated 113 +1 2mo ago A 45 tokens

ai4nucleome/BioMaster

Skill OpenCode

Identify differentially methylated regions (DMRs) from WGBS or methylation-array data using tiling, smoothing, or kernel-based approaches, then refine, annotate, visualize, and export them.

not rated 113 +1 2mo ago A 48 tokens

ai4nucleome/BioMaster

Skill OpenCode

Detect and remove cell doublets from flow cytometry or CyTOF data using scatter gating, DNA/event-length methods, or regression residuals, with batch processing and visualization.

not rated 113 +1 2mo ago A 42 tokens

ai4nucleome/BioMaster

Skill OpenCode

Predict which gene a distal accessible (enhancer) region regulates by combining accessibility activity, 3D contact frequency, and sequence features into a per-(enhancer, gene) score; validate with CRISPRi-FlowFISH.

not rated 113 +1 2mo ago A 57 tokens

ai4nucleome/BioMaster

Skill OpenCode

Detect and remove cell doublets/aggregates from flow cytometry or CyTOF data using scatter gating, automated/QC methods, regression/ratio scoring, and CyTOF DNA/event-length detection, before clustering or quantitative analysis.

not rated 113 +1 2mo ago A 58 tokens

ai4nucleome/BioMaster

Skill OpenCode

Infer gene regulatory networks from single-cell data (pySCENIC for RNA-only, SCENIC+ for Multiome) and simulate TF perturbations with CellOracle.

not rated 113 +1 2mo ago A 41 tokens

ai4nucleome/BioMaster

Skill OpenCode

Interactively annotate cell types in multiplexed imaging (IMC) data using napari visualization with marker overlays, then extract training data, propagate labels with KNN, and validate annotations.

not rated 113 +1 2mo ago A 44 tokens

ai4nucleome/BioMaster

Skill OpenCode

Reconstruct cell lineage trees from CRISPR/lentiviral/mitochondrial barcodes and analyze clonal dynamics and fate decisions in single-cell lineage-tracing experiments.

not rated 113 +1 2mo ago A 42 tokens

ai4nucleome/BioMaster

Skill OpenCode

Find differentially expressed marker genes per cluster, visualize them, score gene sets/cell cycle, and manually annotate cell types. Supports Scanpy (Python) and Seurat (R).

not rated 113 +1 2mo ago A 44 tokens

ai4nucleome/BioMaster

Skill OpenCode

Build publication-ready figures in Python with matplotlib's object-oriented Figure/Axes API, seaborn integration, Type-42 fonts, CVD-safe palettes, and rasterized point layers.

not rated 113 +1 2mo ago A 46 tokens

ai4nucleome/BioMaster

Skill OpenCode

Infer metabolite-mediated cell-cell communication from scRNA-seq data using MeboCost, by predicting metabolite secretion from enzyme expression and sensing via receptors.

not rated 113 +1 2mo ago A 39 tokens

ai4nucleome/BioMaster

Skill OpenCode

Compute per-sample/per-cell TF motif accessibility deviation z-scores with chromVAR (bulk, Signac, ArchR) and optionally refine TF activity with DecoupleR.

not rated 113 +1 2mo ago A 42 tokens

ai4nucleome/BioMaster

Skill OpenCode

Jointly analyze multimodal single-cell data (CITE-seq RNA+protein, 10X Multiome RNA+ATAC) using Weighted Nearest Neighbors (WNN) or Multi-Omics Factor Analysis (MOFA) integration.

not rated 113 +1 2mo ago A 59 tokens

ai4nucleome/BioMaster

Skill OpenCode

Complete 10X Multiome (joint scRNA + scATAC) analysis workflow using Seurat and Signac: load joint data, modality-specific QC and dimensionality reduction, WNN integration, clustering, markers, and gene-peak linkage.

not rated 113 +1 2mo ago A 58 tokens

ai4nucleome/BioMaster

Skill OpenCode

Build enhancer-driven gene regulatory networks (eRegulons) from paired scRNA+scATAC multiome data using SCENIC+, with a FigR alternative in R.

not rated 113 +1 2mo ago A 44 tokens

ai4nucleome/BioMaster

Skill OpenCode

Normalize raw RNA-seq count matrices: pre-filter genes, estimate between-sample size factors (RLE/TMM), compute TPM, variance-stabilize for visualization, correct GC/length bias, and normalize single-cell data.

not rated 113 +1 2mo ago A 51 tokens

ai4nucleome/BioMaster

Skill OpenCode

Annotate ChIP-seq / ATAC-seq peaks with gene features, ENCODE cCRE regulatory classes, and gene-set enrichment using ChIPseeker, HOMER, rGREAT, and ChIP-Enrich.

not rated 113 +1 2mo ago A 53 tokens

ai4nucleome/BioMaster

Skill OpenCode

Analyze a single-cell pooled CRISPR perturbation screen: assign sgRNAs to cells, filter escapers via Mixscape, fit per-gene differential expression (SCEPTRE/PyDESeq2), and rank perturbations by molecular effect.

not rated 113 +1 2mo ago A 58 tokens

ai4nucleome/BioMaster

Skill OpenCode

Analyze Perturb-seq CRISPR screens by linking guide RNA assignments to single-cell transcriptional phenotypes using pertpy and Seurat Mixscape.

not rated 113 +1 2mo ago A 38 tokens

ai4nucleome/BioMaster

Skill OpenCode

Assign cell types to segmented IMC single cells from protein marker expression via Leiden clustering, manual gating, or SOM/supervised classification.

not rated 113 +1 2mo ago A 33 tokens

ai4nucleome/BioMaster

Skill OpenCode

Preprocess scRNA-seq data: QC metrics, filtering, normalization, highly variable gene selection, and scaling for downstream analysis. Covers Scanpy (Python) and Seurat (R).

not rated 113 +1 2mo ago A 43 tokens

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