Use when working with ACE (Accurate CRISPR Essentiality) — a Python package from the Pe'er Lab (Memorial Sloan Kettering) for estimating gene essentiality from CRISPR pooled knockout screens. Models g
Use with AI
Install the MCP server or CLI to instantly fetch ACE documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/ace
bwa-meth -- fast and accurate bisulfite-seq (WGBS/RRBS) aligner built on BWA-MEM. Performs in-silico C-to-T conversion of reads and reference, aligns with BWA-MEM or BWA-MEM2, and recovers original ba
1 shared topic • 2 shared operations
Cellranger-arc — 10x Genomics pipeline for processing Multiome ATAC + Gene Expression data from the Chromium Multiome kit. Aligns FASTQ reads, calls peaks, quantifies gene expression and chromatin acc
1 shared topic • 2 shared operations
FLAMES — Full-Length Analysis of Mutations and Splicing for bulk and single-cell long-read RNA-seq data. R/Bioconductor pipeline for barcode demultiplexing, isoform discovery, transcript quantificatio
1 shared topic • 2 shared operations
Use when performing single-cell QTL (sc-eQTL, sc-sQTL) mapping with SAIGE-QTL. SAIGE-QTL extends the SAIGE framework to single-cell RNA-seq data using Poisson mixed models to handle count overdispersi
1 shared topic • 2 shared operations
salmon — Fast, bias-aware transcript quantification from RNA-seq data using selective alignment to the transcriptome. Supports bulk RNA-seq (mapping-based and alignment-based modes), single-cell RNA-s
1 shared topic • 2 shared operations