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chicane (version 0.1.8)

Capture Hi-C Analysis Engine

Description

Toolkit for processing and calling interactions in capture Hi-C data. Converts BAM files into counts of reads linking restriction fragments, and identifies pairs of fragments that interact more than expected by chance. Significant interactions are identified by comparing the observed read count to the expected background rate from a count regression model.

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Version

Install

install.packages('chicane')

Monthly Downloads

332

Version

0.1.8

License

GPL-2

Maintainer

Syed Haider

Last Published

November 6th, 2021

Functions in chicane (0.1.8)

bre80

Bre80 Cell Line
chicane

chicane
check.split.data.numerical.fit

check.split.data.numerical.fit
bedtools.installed

bedtools.installed
add.fragment.coordinates

add.fragment.coordinates
check.model.numerical.fit

check.model.identifiability
combine.replicates

combine.replicates
compare.replicates

compare.replicates
add.covariates

add.covariates
filter.fragments

filter.fragments
convert.bam

convert.bam
convert.standard.format

convert.standard.format
convert.hicup.digest.bed

convert.hicup.digest.bed
get.components

get.components
convert.to.one.based

convert.to.one.based
get.interaction.id

get.interaction.id
distance.bin

distance.bin
create.modelfit.plot

create.modelfit.plot
model.rows.sanity.check

model.rows.sanity.check
get.id.components

get.id.components
distance.split

distance.split
create.locus.plot

create.locus.plot
is.glm.nb.theta.error

check.glm.nb.theta.error
model.try.catch

model.try.catch
fit.glm

fit.glm
fill.in.zeros

fill.in.zeros
is.glm.nb.theta.warning

is.glm.nb.theta.warning
fit.model

fit.model
test.enrichment

test.enrichment
get.trans.counts

get.trans.counts
is.glm.nb.maxiter.warning

is.glm.nb.maxiter.warning
verify.interaction.data

verify.interaction.data
multiple.testing.correct

multiple.testing.correct
get.combination.count

get.combination.count
prepare.data

prepare.data
read.bed

read.bed
run.model.fitting

run.model.fitting
get.distance

get.distance
stratified.enrichment.sample

stratified.enrichment.sample
smart.split

smart.split