# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "dmrseq" in publications use:' type: software license: MIT title: 'dmrseq: Detection and inference of differentially methylated regions from Whole Genome Bisulfite Sequencing' version: 1.25.0 doi: 10.1093/biostatistics/kxy007 abstract: This package implements an approach for scanning the genome to detect and perform accurate inference on differentially methylated regions from Whole Genome Bisulfite Sequencing data. The method is based on comparing detected regions to a pooled null distribution, that can be implemented even when as few as two samples per population are available. Region-level statistics are obtained by fitting a generalized least squares (GLS) regression model with a nested autoregressive correlated error structure for the effect of interest on transformed methylation proportions. authors: - family-names: Korthauer given-names: Keegan email: keegan@stat.ubc.ca orcid: https://orcid.org/0000-0002-4565-1654 - family-names: Irizarry given-names: Rafael email: rafa@jimmy.harvard.edu orcid: https://orcid.org/0000-0002-3944-4309 - family-names: Benjamini given-names: Yuval - family-names: Chakraborty given-names: Sutirtha preferred-citation: type: article title: Detection and accurate false discovery rate control of differentially methylated regions from whole genome bisulfite sequencing authors: - family-names: Korthauer given-names: Keegan email: keegan@stat.ubc.ca orcid: https://orcid.org/0000-0002-4565-1654 - family-names: Chakraborty given-names: Sutirtha - family-names: Benjamini given-names: Yuval - family-names: Irizarry given-names: Rafael A journal: Biostatistics year: '2018' doi: 10.1093/biostatistics/kxy007 start: kxy007 repository: https://bioc.r-universe.dev contact: - family-names: Korthauer given-names: Keegan email: keegan@stat.ubc.ca orcid: https://orcid.org/0000-0002-4565-1654