eQTL Catalogue

Use when working with CellRegMap — a Python framework for mapping context-specific genetic effects (sc-eQTL) in single-cell RNA-seq data. CellRegMap models genotype × cell-state interactions using a l

3 shared topics • 2 shared operations

DRAGEN (Dynamic Read Analysis for GENomics) — Illumina's FPGA-accelerated bioinformatics platform for secondary analysis of next-generation sequencing data. Performs hardware-accelerated mapping, alig

2 shared topics • 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

2 shared topics • 2 shared operations

Loom — HDF5-based file format and Python library (loompy) for storing and accessing large single-cell RNA-seq datasets. Supports sparse/dense matrices, row attributes (genes/features), column attribut

2 shared topics • 2 shared operations

Use when working with scPrediXcan — a TWAS (Transcriptome-Wide Association Study) framework that extends PrediXcan to single-cell resolution using sc-eQTL prediction models. Maps GWAS loci to cell-typ

2 shared topics • 2 shared operations