CasTLE (Cas9 High-Throughput maximum Likelihood Estimator) — empirical Bayesian framework for analyzing pooled CRISPR/Cas9 and RNAi genetic screens. Identifies genes with significant phenotypic effect
Use with AI
Install the MCP server or CLI to instantly fetch CasTLE documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/castle
BEASTIE (Bayesian Estimation of Allele-Specific Transcription Integrating Expression) — statistical framework for detecting allele-specific expression (ASE) from RNA-seq data. Uses a Bayesian hierarch
1 shared topic • 2 shared operations
Use when working with GuacaMol — the benchmarking suite for de novo molecular generation — to evaluate generative models for drug-like molecules. Assesses distribution-learning (17 benchmarks: validit
1 shared topic • 2 shared operations
LocusZoom — regional association plot generator for GWAS and fine-mapping results. Creates publication-quality locus zoom plots showing -log10(p-value) vs genomic position with LD coloring, recombinat
1 shared topic • 2 shared operations
RASQUAL (Robust Allele Specific QUantification and quality controL) — joint QTL mapping tool that integrates total read counts and allele-specific reads for cis-regulatory variant discovery. Detects i
1 shared topic • 2 shared operations
ScreenProcessing — Python pipeline for analyzing pooled genetic screens (CRISPRi/CRISPRa). Converts raw FASTQ sequencing files into library counts using fastqgz_to_counts.py, then generates sgRNA phen
1 shared topic • 2 shared operations