epistack - Heatmaps of Stack Profiles from Epigenetic Signals
The epistack package main objective is the visualizations of stacks of genomic tracks (such as, but not restricted to, ChIP-seq, ATAC-seq, DNA methyation or genomic conservation data) centered at genomic regions of interest. epistack needs three different inputs: 1) a genomic score objects, such as ChIP-seq coverage or DNA methylation values, provided as a `GRanges` (easily obtained from `bigwig` or `bam` files). 2) a list of feature of interest, such as peaks or transcription start sites, provided as a `GRanges` (easily obtained from `gtf` or `bed` files). 3) a score to sort the features, such as peak height or gene expression value.
Last updated 26 days ago
rnaseqpreprocessingchipseqgeneexpressioncoveragebioinformatics
5.26 score 6 stars 5 scripts 132 downloadsscFeatureFilter - A correlation-based method for quality filtering of single-cell RNAseq data
An R implementation of the correlation-based method developed in the Joshi laboratory to analyse and filter processed single-cell RNAseq data. It returns a filtered version of the data containing only genes expression values unaffected by systematic noise.
Last updated 26 days ago
immunooncologysinglecellrnaseqpreprocessinggeneexpression
4.30 score 20 scripts 184 downloads