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Skills IA databases bioinformatics

Découvrez les skills databases bioinformatics, comparez leurs dépôts et consultez leurs instructions.

Catégories: databases bioinformatics

385–408 sur 920

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GitHub

bio-restriction-fragment-analysis

GPTomics

Analyze restriction digest fragments using Biopython Bio.Restriction. Predict fragment sizes, get fragment sequences, simulate gel electrophoresis patterns, and perform double digests.

GitHub

bio-metagenomics-strain-tracking

GPTomics

Track bacterial strains using MASH, sourmash, fastANI, and inStrain. Compare genomes, detect contamination, and monitor strain-level variation. Use when needing sub-species resolution for outbreak tracking, tra...

GitHub

bio-chipseq-differential-binding

GPTomics

Differential binding analysis using DiffBind. Compare ChIP-seq peaks between conditions with statistical rigor. Requires replicate samples. Outputs differentially bound regions with fold changes and p-values.

GitHub

bio-workflows-proteomics-pipeline

GPTomics

End-to-end proteomics workflow from MaxQuant output to differential protein abundance. Orchestrates data import, normalization, imputation, and statistical testing with MSstats or limma.

GitHub

bio-pdb-structure-navigation

GPTomics

Navigate protein structure hierarchy using Biopython Bio.PDB SMCRA model. Use for accessing models, chains, residues, and atoms, iterating over structure levels, extracting sequences, identifying residue types,...

GitHub

bio-data-visualization-genome-tracks

GPTomics

Create genome browser-style visualizations showing multiple data tracks (coverage, peaks, genes) using pyGenomeTracks, Gviz, and IGV. Use when visualizing genomic data at specific loci with multiple aligned tra...

GitHub

bio-chipseq-visualization

GPTomics

Visualize ChIP-seq data using deepTools, Gviz, and ChIPseeker. Create heatmaps, profile plots, and genome browser tracks. Visualize signal around peaks, TSS, or custom regions.

GitHub

bio-read-alignment-star-alignment

GPTomics

Align RNA-seq reads with STAR (Spliced Transcripts Alignment to a Reference). Use for RNA-seq data requiring splice-aware alignment. Supports two-pass mode for novel splice junction discovery.

GitHub

rdkit

benchflow-ai

Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows w...

GitHub

nextflow-development

anthropics

Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core,...

GitHub

single-cell-rna-qc

anthropics

Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering lo...

GitHub

instrument-data-to-allotrope

anthropics

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS sys...

GitHub

scvi-tools

anthropics

Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq mul...

GitHub

biomni

aiskillstore

Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical rese...

GitHub

claude-scientific-skills

Microck

Comprehensive collection of 128+ ready-to-use scientific skills for Claude enabling research across biology, chemistry, medicine, genomics, and advanced analysis domains.

GitHub

fiftyone-embeddings-visualization

aiskillstore

Visualize datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when users want to explore dataset structure, find clusters in images, identify outliers, color samples by class or met...

GitHub

fiftyone-find-duplicates

aiskillstore

Find duplicate or near-duplicate images in FiftyOne datasets using brain similarity computation. Use when users want to deduplicate datasets, find similar images, cluster visually similar content, or remove red...

GitHub

biogeobears

aiskillstore

Set up and execute phylogenetic biogeographic analyses using BioGeoBEARS in R. Use when users request biogeographic reconstruction, ancestral range estimation, or want to analyze species distributions on phylog...

GitHub

reasoning-inductive

aiskillstore

Extract patterns and generalizations from multiple observations. Use when detecting recurring themes, building predictive rules, or identifying systemic behaviors from accumulated data. Produces validated patte...

GitHub

busco-phylogeny

aiskillstore

Generate phylogenies from genome assemblies using BUSCO/compleasm-based single-copy orthologs with scheduler-aware workflow generation

GitHub

project-research

aiskillstore

Research workflow patterns specific to {project}. Covers research agent coordination, source management, and synthesis strategies.

GitHub

lifecycle

posit-dev

Guidance for managing R package lifecycle according to tidyverse principles using the lifecycle package. Use when: (1) Setting up lifecycle infrastructure in a package, (2) Deprecating functions or arguments, (...

GitHub

chai

adaptyvbio

Structure prediction using Chai-1, a foundation model for molecular structure. Use this skill when: (1) Predicting protein-protein complex structures, (2) Validating designed binders, (3) Predicting protein-lig...

GitHub

pdb

adaptyvbio

Fetch and analyze protein structures from RCSB PDB. Use this skill when: (1) Need to download a structure by PDB ID, (2) Search for similar structures, (3) Prepare target for binder design, (4) Extract specific...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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