GRIN22.0.0 package

Genomic Random Interval (GRIN)

alex.boxplots

Generate Box Plots of Gene Expression by Lesion Groups

alex.pathway

Visualize Lesion and Expression Data by Pathway

alex.prep.lsn.expr

Prepare Lesion and Expression Data for Kruskal Wallis Test

alex.waterfall.plot

Generate Waterfall Plot of Lesion and Expression Data

alex.waterfall.prep

Prepare Lesion and Expression Data for Waterfall Plots

compute.gw.coordinates

Compute Genome-wide Plotting Coordinates

count.hits

Count Gene Lesion Hits

default.grin.colors

Assign Default GRIN Colors

find.gene.lsn.overlaps

Find Gene Lesion Overlaps

genomewide.log10q.plot

Genome-wide -log10(q-value) Plot

genomewide.lsn.plot

Genome-wide Lesion Plot

get.chrom.length

Get Chromosome Length

get.ensembl.annotation

Get Ensembl Gene and Regulatory Features Annotation Data

grin.assoc.lsn.outcome

Associate Lesions with Clinical Outcomes

grin.barplt

GRIN Lesion Stacked Bar Plot

grin.lsn.boundaries

GRIN Evaluation of Lesion Boundaries

grin.oncoprint.mtx

GRIN OncoPrint-Compatible Lesion Matrix

grin.stats.lsn.plot

GRIN Statistics Lesions Plot

grin.stats

Execute GRIN Statistical Framework

KW.hit.express

Associate Lesion Groups with Gene Expression

lsn.transcripts.plot

Plot of Gene Lesions and Transcripts

onco.print.props

Oncoprint Proportions by Lesion Type

order.index.gene.data

Order and Index Gene Annotation Data

order.index.lsn.data

Order and Index Lesion Data

prep.binary.lsn.mtx

Prepare Binary Lesion Matrix

prep.gene.lsn.data

Prepare Gene and Lesion Data for GRIN Analysis

prep.lsn.type.matrix

Prepare Lesion Type Matrix

prob.hits

Find Probability of Locus Hit

top.alex.waterfall.plots

Generate Waterfall Plots for Top Significant Genes

write.grin.xlsx

Write GRIN Results to Excel File

Improved version of 'GRIN' software that streamlines its use in practice to analyze genomic lesion data, accelerate its computing, and expand its analysis capabilities to answer additional scientific questions including a rigorous evaluation of the association of genomic lesions with RNA expression. Pounds, Stan, et al. (2013) <DOI:10.1093/bioinformatics/btt372>.

  • Maintainer: Abdelrahman Elsayed
  • License: GPL (>= 3)
  • Last published: 2025-06-17