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Topic: nanoclaw

968 skills in this topic.

bio-metabolomics-statistical-analysis Statistical analysis for metabolomics data. Covers univariate testing, multivariate methods (PCA, PLS-DA), and biomarker discovery. Use when identifying differentially abundant metabolites or building classification models.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-biomarker-discovery
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-somatic-variant-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
infographics Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-alignment-pairwise Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner. Use when comparing two sequences, finding optimal alignments, scoring similarity, and identifying local or global matches between DNA, RNA, or protein sequences.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
chemistry-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-alignment-validation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-prediction-explanation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-small-rna-seq-target-prediction
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-pdb-structure-modification Modify protein structures using Biopython Bio.PDB. Use when transforming coordinates, removing atoms or residues, adding new entities, modifying B-factors and occupancies, or building structures programmatically.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-ribo-seq-ribosome-stalling Detect ribosome pausing and stalling sites from Ribo-seq data at codon resolution. Use when studying translational regulation, identifying pause sites, or analyzing codon-specific translation dynamics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-atac-seq-motif-deviation Analyze transcription factor motif accessibility variability using chromVAR. Use when identifying which TF motifs show variable accessibility across samples or conditions in ATAC-seq data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-atac-seq-nucleosome-positioning Extract nucleosome positions from ATAC-seq data using NucleoATAC, ATACseqQC, and fragment analysis. Use when analyzing chromatin organization, identifying nucleosome-free regions at promoters, or characterizing nucleosome occupancy patterns from ATAC-seq fragment size distributions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-basecalling Convert raw Nanopore signal data (FAST5/POD5) to nucleotide sequences using Dorado basecaller. Covers model selection, GPU acceleration, modified base detection, and quality filtering. Use when processing raw Nanopore data before alignment. Guppy is deprecated; use Dorado for all new analyses.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
prs-net-deep-learning-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-phylo-tree-visualization
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-microbiome-amplicon-processing Amplicon sequence variant (ASV) inference from 16S rRNA or ITS amplicon sequencing using DADA2. Covers quality filtering, error learning, denoising, and chimera removal. Use when processing demultiplexed amplicon FASTQ files to generate an ASV table for downstream analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pymc-bayesian-modeling Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
latex-posters Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-clinical-trial-matching AI-driven patient-to-trial matching for precision medicine and oncology. Given a patient profile (disease, molecular alterations, stage, prior treatments), discovers and ranks clinical trials from ClinicalTrials.gov using multi-dimensional matching across molecular eligibility, clinical criteria, drug-biomarker alignment, evidence strength, and geographic feasibility. Produces a quantitative Trial Match Score (0-100) per trial with tiered recommendations and a comprehensive markdown report. Use when oncologists, molecular tumor boards, or patients ask about clinical trial options for specific cancer types, biomarker profiles, or post-progression scenarios.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
phylogenetics Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-engineering-hdr-template-design Design homology-directed repair donor templates for CRISPR knock-ins using primer3-py. Create ssODN, dsDNA, or plasmid templates with optimized homology arms. Use when designing donor templates for precise insertions, tagging, or allele replacement.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-small-rna-seq-differential-mirna
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tme-immune-profiling-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009