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nf-core/gcta/reml @ 0.0.0-76dfaba

Run univariate REML heritability estimation with a dense GRM

Latest version: 0.0.0-76dfaba
Total downloads: 0
Source: nf-core/modules
Authors: @lyh970817
Maintainers: @lyh970817

Summary

Run univariate REML heritability estimation with a dense GRM

Get started

Add the following snippet to your workflow script to include this module.

include { GCTA_REML } from 'nf-core/gcta/reml'

License

MIT License

Process
Name GCTA_REML
Input 4 channels
#1 tuple
meta map

Groovy map containing dense GRM metadata meta.id must be the GRM basename passed to --grm (for example plink_simulated_dense for plink_simulated_dense.grm.{id,bin,N.bin})

grm_files file

Dense GRM bundle containing sample identifier, binary matrix, and sample-count matrix files

*.grm.*
#2 tuple
meta2 map

Groovy map containing phenotype metadata; should carry the same sample identity as meta, for example [ id:'plink_simulated_dense' ]

phenotypes_file file

Phenotype file passed to --pheno

*.{phe,pheno,txt,tsv}
#3 tuple
meta3 map

Groovy map containing quantitative covariate metadata; should carry the same sample identity as meta, for example [ id:'plink_simulated_dense' ]

quant_covariates_file file

Quantitative covariates file, pass [] when absent

*.{covar,cov,txt,tsv}
#4 tuple
meta4 map

Groovy map containing categorical covariate metadata; should carry the same sample identity as meta, for example [ id:'plink_simulated_dense' ]

cat_covariates_file file

Categorical covariates file, pass [] when absent

*.{covar,cov,txt,tsv}
Output 2 channels
#1 reml_results tuple
meta map

Groovy map containing dense GRM metadata meta.id must be the GRM basename passed to --grm (for example plink_simulated_dense for plink_simulated_dense.grm.{id,bin,N.bin})

*.hsq file

REML result file

*.{hsq}
#2 versions_gcta tuple
${task.process} string

The process the version was collected from

gcta string

The tool name

gcta --version | sed -En 's/^[*] version v([0-9.]*).*/\1/p' eval

The command used to retrieve the GCTA version

Tool Description Homepage
gcta Genome-wide Complex Trait Analysis (GCTA) estimates genetic relationships, variance components, and association statistics from genome-wide data. https://yanglab.westlake.edu.cn/software/gcta/
Version 0.0.0-76dfaba
Commit ID 76dfaba27ac4eacd80cdac5ba28985ee2646b0bd
Release Date 27 May 2026 15:00:41 (UTC)
Download URL https://registry.nextflow.io/api/v1/modules/nf-core%2Fgcta%2Freml/0.0.0-76dfaba/download
OCI Store URL https://public.cr.seqera.io/v2/nextflow/plugin/modules/nf-core/gcta/reml/blobs/sha256:0a4bc4d2fe55fc30ebcdeea43d2a72f474648af7685b8b0ea795cffca110a48c
Size 3.8 KB
Checksum sha256:0a4bc4d2fe55fc30ebcdeea43d2a72f474648af7685b8b0ea795cffca110a48c
Downloads 0
Version Date Status Downloads Size Diff
0.0.0-76dfaba 27 May 2026 15:00:41 (UTC) 0 3.8 KB -