bio-workflows-proteomics-pipeline
End-to-end proteomics workflow from MaxQuant output to differential protein abundance. Orchestrates data import, normalization, imputation, and statistical testing with MSstats or limma.
Explorez les skills IA publiés de GPTomics et consultez leurs instructions source.
Skills indexés
269Étoiles des dépôts des skills indexés
80,661Forks du dépôt
13,719Moyenne des étoiles par skill indexé
300Les étoiles d’un dépôt peuvent se répéter entre ses skills.
End-to-end proteomics workflow from MaxQuant output to differential protein abundance. Orchestrates data import, normalization, imputation, and statistical testing with MSstats or limma.
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,...
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...
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.
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.
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.