HPO Phenotype Matcher Skill
Human Phenotype Ontology skill for phenotype-driven gene prioritization
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Human Phenotype Ontology skill for phenotype-driven gene prioritization
Search for similar protein sequences in UniProt Swiss-Prot database using BLAST to identify homologous proteins and functional relationships.
Retrieve genomic sequences from Ensembl database using transcript or gene IDs to obtain nucleotide and protein sequences.
MaxQuant mass spectrometry skill for protein identification and quantification
IGV integration skill for interactive genome visualization and review
Gene Set Enrichment Analysis skill for functional annotation and pathway interpretation
MetaPhlAn metagenomic profiling skill for species-level community composition
Salmon pseudo-alignment skill for fast and accurate transcript quantification
RDKit chemoinformatics skill for molecular property calculation and compound library management
BAM/SAM file manipulation skill for sorting, indexing, filtering, and extracting alignment data
Seurat single-cell analysis skill for clustering, annotation, and trajectory analysis
STRING protein interaction network skill for functional enrichment and network visualization
Structural variant detection skill for identifying CNVs, inversions, translocations, and complex rearrangements
Bioreactor culture protocol development skill for tissue construct maturation
Sterile barrier system validation planning skill per ISO 11607
Perseus statistical analysis skill for proteomics data analysis and visualization
Active targeting skill for designing and validating nanoparticle targeting strategies
Use-related risk analysis skill for identifying hazards associated with user interaction per IEC 62366-1
PyTorch-native Graph Neural Network framework for molecules and proteins. Suitable for building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, and retrosynthesis. If you need pretrained m...
Detect copy number variations from whole genome sequencing data and generate publication-quality genome-wide CNV plots. Supports CNV calling, segmentation, and visualization for cancer genomics and rare disease analysis.
AutoDock molecular docking skill for small molecule binding prediction and virtual screening
Generate forest plots for meta-analysis of continuous data. Input a CSV file containing study names, means, standard deviations, and sample sizes for experimental and control groups. Output forest plot PNG and data table CSV.
Predict neoantigens that may be recognized by the immune system based.
Sequencing quality control skill for assessing read quality, adapter contamination, and sequence composition
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