AlterLab-IEU

155 mods across 3 repositories, 106 stars between them.

AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Runs FASTQ-to-VCF germline and somatic variant calling via the Nextflow nf-core/sarek pipeline pinned to -r 3.8.1 — builds the samplesheet.csv (patient, sex, status, sample, lane, fastq1, fastq2), runs bwa-mem/bwa-mem2/dragmap alignment plus GATK4 MarkDuplicates and BQSR against the GATK GRCh38 resource bundle (dbSNP…

62 2mo ago A 283 tokens original MIT

alterlab-pathml

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Run full computational-pathology workflows with PathML — whole-slide-image (WSI) analysis across 160+ slide formats, multiplexed immunofluorescence (CODEX, Vectra, MERFISH), nucleus segmentation/classification (HoVer-Net, HACTNet), tissue- and cell-graph construction, HDF5 dataset management, and deep-learning model…

62 2mo ago A 147 tokens original MIT

AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Build phylogenetic trees end-to-end from raw sequences — MAFFT multiple sequence alignment, optional TrimAl trimming, IQ-TREE 2 maximum-likelihood inference with model selection and bootstraps, FastTree for large datasets, then visualize with ETE3 or FigTree. Use when reconstructing trees from sequences (FASTA) for…

62 2mo ago A 152 tokens original MIT

AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Design protein sequences for a fixed backbone with ProteinMPNN (Dauparas 2022) — message-passing inverse folding that outputs sequences predicted to fold to a given structure, with fixed positions, tied/symmetric chains, amino-acid bias, and a soluble-model variant. Use when inverse-folding a backbone PDB into…

62 2mo ago A 173 tokens original MIT

alterlab-pydeseq2

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Run differential gene expression analysis on bulk RNA-seq count matrices with PyDESeq2, the Python port of DESeq2 — size-factor normalization, dispersion estimation, Wald tests, FDR (Benjamini-Hochberg) correction, and volcano/MA plots. Use when identifying differentially expressed genes between conditions from raw…

62 2mo ago A 88 tokens original MIT

alterlab-pyopenms

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Build complete mass-spectrometry workflows with pyOpenMS — feature detection, peptide identification, protein quantification, and full LC-MS/MS pipelines across many MS file formats (mzML, mzXML) and algorithms. Use for comprehensive proteomics and MS data processing — for simple spectral comparison and metabolite…

62 2mo ago A 81 tokens original MIT

alterlab-pysam

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Read and write genomic alignment and variant files in Python with pysam (htslib bindings) — SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences, plus region extraction and per-base coverage/pileup. Use when scripting NGS data-processing pipelines that parse, filter, index, or compute coverage over…

62 2mo ago A 98 tokens copy · 98% MIT

AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Runs 16S/ITS amplicon (microbiome) analysis with the QIIME 2 amplicon distribution (2026.1; renamed to "qiime2" in 2026.4) in the correct order: manifest import, cutadapt trim-paired primer removal BEFORE dada2 denoise-paired (trunc-len chosen from the demux quality .qzv), feature-classifier classify-sklearn against a…

62 2mo ago A 266 tokens original MIT

AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Generate de-novo protein backbones with RFdiffusion (Watson 2023) — a diffusion model for unconditional monomer generation, motif scaffolding, binder design against a target, and symmetric oligomers. Use when generating a new protein backbone from scratch, scaffolding a functional motif into a fold, designing a binder…

62 2mo ago A 172 tokens original MIT

AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Quantifies bulk RNA-seq transcript abundance with salmon (v1.11.4 selective alignment) and kallisto (v0.52.0, kb-python workflow), builds a decoy-aware gentrome index, runs quant with --validateMappings --gcBias -l A, then imports estimates via tximport/tximeta with a tx2gene map and hands differential expression to…

62 2mo ago A 214 tokens original MIT

alterlab-scanpy

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Run the standard single-cell RNA-seq analysis pipeline with Scanpy on AnnData — QC filtering, normalization, dimensionality reduction (PCA, UMAP, t-SNE), Leiden/Louvain clustering, marker/differential expression, PAGA trajectories, and plotting. Use when analyzing scRNA-seq data through clustering, cell-type…

62 2mo ago A 143 tokens copy · 86% MIT

alterlab-scgpt

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Apply the scGPT single-cell foundation model (Cui 2024) to annotate and embed cells — zero-shot and fine-tuned cell-type annotation, gene/cell embeddings, batch integration, and gene-regulatory / perturbation inference from AnnData. Use when annotating cell types with a pretrained foundation model, generating scGPT…

62 2mo ago A 163 tokens original MIT

alterlab-scikit-bio

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Analyze biological data with scikit-bio — sequence analysis and alignments, phylogenetic trees, alpha/beta diversity metrics (including UniFrac), ordination (PCoA), PERMANOVA statistics, and FASTA/Newick I/O. Use for microbiome and community-ecology analysis — computing diversity, distance matrices, and ordination…

62 2mo ago A 90 tokens copy · 86% MIT

alterlab-scvelo

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Run RNA velocity analysis with scVelo on single-cell RNA-seq data — estimate cell-state transitions from spliced/unspliced mRNA dynamics, infer trajectory direction, compute latent time, and identify driver genes. Use when adding directionality to trajectories or studying differentiation dynamics from…

62 2mo ago A 130 tokens copy · 92% MIT

alterlab-scvi-tools

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Train deep generative models for single-cell omics with scvi-tools — probabilistic batch correction and integration (scVI), reference-mapping transfer learning (scArches), differential expression with uncertainty, and multimodal models (totalVI for CITE-seq, MultiVI for multiome). Use when correcting batch effects…

62 2mo ago A 102 tokens copy · 89% MIT

AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Analyzes spatial transcriptomics with squidpy (1.8.x) on AnnData and SpatialData objects, routing platforms correctly: Visium spots use spatialneighbors(coordtype='grid') and pair with deconvolution, while Xenium/MERFISH single-cell data use coordtype='generic'/Delaunay neighbors and spatialdata-io readers (xenium…

62 2mo ago A 201 tokens original MIT

alterlab-tiledbvcf

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Store and query genomic variant data at scale with TileDB-VCF — ingest VCF/BCF into compressed TileDB arrays, add samples incrementally, run fast parallel region/sample queries, and export back to VCF. Use when managing population-genomics variant datasets that are too large for flat VCF, building joint variant…

62 2mo ago A 93 tokens original MIT

alterlab-datamol

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Wraps RDKit in a high-level, pandas-friendly datamol interface with sensible defaults for everyday drug discovery — SMILES/SDF loading into DataFrames, molecule standardization, descriptors, fingerprints, Butina clustering, 3D conformer generation, scaffold analysis, and parallel batch processing, returning native…

62 2mo ago A 120 tokens original MIT

alterlab-deepchem

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Runs molecular machine learning with DeepChem — diverse featurizers, pre-built MoleculeNet benchmark datasets, and pre-trained models (ChemBERTa, GROVER) for property prediction (ADMET, toxicity, solubility) via traditional ML or graph neural networks. Use when running end-to-end molecular ML experiments that need…

62 2mo ago A 126 tokens original MIT

alterlab-diffdock

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Predicts protein-ligand binding poses with DiffDock diffusion-based molecular docking from PDB structures and SMILES, producing pose confidence scores for virtual screening and structure-based drug design. Use when docking ligands into a protein, generating binding poses, or screening compounds against a target; not…

62 2mo ago A 77 tokens copy · 89% MIT

alterlab-matchms

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Computes mass-spectral similarity and identifies compounds for metabolomics with matchms — comparing mass spectra, scoring similarity (cosine, modified cosine), and searching spectral libraries to annotate unknowns. Use when matching MS/MS spectra, identifying metabolites, or library searching; for full LC-MS/MS…

62 2mo ago A 79 tokens original MIT

alterlab-medchem

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Applies medicinal-chemistry filters with the medchem library — drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, and molecular complexity metrics for compound prioritization and library cleanup. Use when filtering or triaging a compound library, flagging PAINS or reactive groups, or assessing…

62 2mo ago A 86 tokens original MIT

AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Runs and analyzes molecular dynamics simulations with OpenMM and MDAnalysis — setting up protein and small-molecule systems, assigning force fields, running energy minimization and production MD, and analyzing trajectories (RMSD, RMSF, contact maps, free energy surfaces). Use when simulating protein or ligand…

62 2mo ago A 98 tokens original MIT

alterlab-molfeat

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AlterLab-IEU/AlterLab-Academic-Skills

Skill Claude CodeCodex

Featurizes molecules for machine learning with molfeat (100+ featurizers) — ECFP/MACCS/MAP4 fingerprints, RDKit and Mordred physicochemical descriptors, and pretrained embeddings (ChemBERTa, ChemGPT, GIN) exposed as scikit-learn transformers that convert SMILES into feature vectors. Use when turning molecules into…

62 2mo ago A 143 tokens original MIT