Aurkitu zure lanerako
AI skill egokia

Designs and scores guide RNAs for knockout, base editing, and CRISPRa/i modalities. Supports SpCas9, Cas12a, and base editors with on/off-target scoring.

End-to-end RNA-seq analysis: STAR alignment, DESeq2 differential expression, GSEA pathway enrichment. Outputs publication-ready volcano plots and heatmaps.

Annotates genomic variants with ClinVar, gnomAD population frequencies, CADD deleteriousness scores, and SpliceAI splice predictions.

Queries ChEMBL, OpenTargets, and PubChem to identify and rank druggable targets for a given disease indication with bioactivity summaries.

Predicts absorption, distribution, metabolism, excretion, and toxicity properties for small molecule candidates using ML models trained on ChEMBL data.

Quality control for single-cell RNA-seq data. Filters by mitochondrial content, doublet detection, and ambient RNA. Outputs annotated AnnData objects.

Retrieves AlphaFold structures, computes binding pocket volumes, and runs RMSD comparisons against PDB reference structures for target assessment.

Searches ClinicalTrials.gov for competing trials, extracts endpoints, enrollment criteria, and sponsor information for competitive intelligence reports.

Production-ready JAX/Flax training loop with gradient checkpointing, mixed precision, multi-device sharding, and Orbax checkpointing.

Analyzes pooled CRISPR screen data with MAGeCK MLE and RRA algorithms. Generates ranked gene lists, sgRNA efficiency plots, and pathway enrichment.

Conducts systematic literature searches across PubMed, bioRxiv, and Semantic Scholar. Builds citation graphs and evidence tables grounded in retrieved papers.

Turborepo monorepo for Hordago Labs: marketing, dashboard, mobile, podcast, and Supabase backend development patterns and conventions.