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Package Name Access Summary Updated
r-rgcca public Multiblock data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are (i) to study the relationships between blocks and (ii) to identify subsets of variables of each block which are active in their relationships with the other blocks. 2023-06-16
rgcca-launcher public Multiblock data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are: (i) to study the relationships between blocks and (ii) to identify subsets of variables of each block which are active in their relationships with the other blocks. 2023-06-16
bioconductor-dmrseq public 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. 2023-06-16
bistar public Bistar: Snakemake pipelines for identification of CpG differentially methylated regions from bisulfite next-generation sequencing data 2023-06-16
r-goldmine public Goldmine is an R package that integrates information to help biologists interpret the genomic ranges that result from epigenome-wide sequencing experiments. The package takes as input any set of genomic ranges (defined by chromosome, start, end) and will annotate these ranges with respect to known genes and features. 2023-06-16

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