Nothing
getStrandedCoverage()
(workaround releveant to GenomicRanges issue #39; will be obviated in
next major Bioconductor release)getStrandedCoverage()
and dependent methods for getting
coverage of normalized data (apparent bug in IRanges::coverage()
for
weighting by normalized values)getCountsByPositions()
for getting counts over an unstranded
region with expand_ranges=TRUE
getDESeqResults()
ncores
options to default to getOption("mc.cores", 2L)
aggregateByNdimBins()
and
densityInNdimBins()
expand_ranges
arguments affecting getCountsByRegions()
,
subsampleGRanges()
, and getSpikeInNFs()
expand_ranges
arguments and
import_bam()
mergeReplicates()
expand_ranges
argumentmergeGRangesData()
: mergeReplicates()
functionmakeGRangesBRG()
that significantly improves performance for
sparser datasets (the datasets for which using the function makes the most
sense)subsampleGRanges()
no longer returns a basepair-resolution GRanges by
defaultfield=NULL
, applyNFsGRanges()
no longer returns a
basepair-resolution GRanges by defaultuse_bin_numbers
option to n-dimension binning functions; setting to
false allows returning of bin values (the bin center) instead of the ordinal
bin numbers (indexes)GRangesList
objects (not fully tested)R3
to allow users to install under R version >=3.5import_bam()
that produced warnings when shift
argument used
to shift both 5' and 3' ends of reads (i.e. when length(shift) == 2
)data()
objects (PROseq
and PROseq_paired
)genebodies()
and getDESeqDataSet()
functionsapplyNFsGRanges()
import_bam()
Rsamtools::testPairedEndBam()
)bpiterate()
GenomicFiles
packageintersectByGene()
and reduceByGene()
functionsrtracklayer
(so completely exported to users)isBRG()
functionspikeInNormGRanges()
that failed to remove spike-in reads
(aside from maintaining those reads, normalization was otherwise correct)metaSubsample()
automatically added rownames with
list inputaggregateByNdimensionalBins()
affecting simultaneous aggregation
of multiple datagetDESeqResults()
metaSubsample()
melt
options for signal counting functionsgetStrandedCoverage()
getDESeqDataSet()
binNdimensions()
to only accept dataframe inputsdensityInNdimensionalBins()
function to count points in each binaggregateByNdimensionalBins()
function to aggregate data within
bins using arbitrary functionsblacklist
argument, for ignoring
reads from user-supplied regionsimport_bam()
for several common use casesgetCountsByPositions()
: melt
option for returning melted dataframesgetMaxPositionsBySignal()
import_bam()
functionshift
argumentmetaSubsample()
functions robust to unevaluated inputs genebodies()
functiongetDESeqResults()
mergeGRangesData()
getDESeqResults()
binNdimensions()
for integer inputsmergeGRangesData()
to support the creation of multiplexed GRanges
objectsgetCountsByRegions()
and getCountsByPositions()
to return integers
if input signal is integerNEWS.md
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