merge_rse_metrics()
can now also handle ERCCsumLogErr
. Note that its an
approximation given properties of logarithms. To compute the actual correct
values, you would need access to the original output ERCC quantification output
files.skipLines
argument to junctionCount
to resolve
https://github.com/LieberInstitute/jaffelab/issues/8.cleaningY()
now supports NA
s in the input y
.googledrive_csv()
function for uploading CSV files to Google
Drive. It used to be internal code of lab_presenters()
but could be more
useful outside of it.lab_presenters()
function for randomizing lab presenters. Could
also be used for randomizing the lab snacks rotation.NEWS.md
file to track changes to the package, thus replacing the
existing NEWS
file.pkgdown::build_site()
version for the documentation of the
package.NEW FEATURES
agePlotter()
, cleaningY()
, getR2()
, edge.pvalue()
and noted that junctionCount()
is missing a full example.NEW FEATURES
n_max()
and n_min()
which return the top n maximum
or minimum values of a vector.NEW FEATURES
merge_rse_metrics()
that merges some of the
sample metadata metrics for samples that were sequenced in more than
one lane. Useful for the RangedSummarizedExperiment objects we
typically produce for RNA-seq experiments at the Jaffe lab.NEW FEATURES
granges_to_ucsc()
function, which is the reverse of
ucsc_to_granges()
.NEW FEATURES
corner()
which takes head of rows and columns of objectsSIGNIFICANT USER-VISIBLE CHANGES
agePlotter()
: changed how the X-axis ticks and range are made for the
prenatal samples.NEW FEATURES
ucsc_to_granges()
function that converts a character vector
of coordinates from the UCSC genome browser to a GRanges object.SIGNIFICANT USER-VISIBLE CHANGES
agePlotter()
is now more flexible and can handle up a vector of
pointColor
and lineColor
. Also, the breaks
are now flexible and support more scenarios (you need at least 3 groups).SIGNIFICANT USER-VISIBLE CHANGES
NEW FEATURES
expression_cutoff()
which finds suggested expression
cutoffs for an RPKM matrix.BUG FIXES
cleaningY()
. This is after Stephen
Semick and Emily Burke reported issues with the function.SIGNIFICANT USER-VISIBLE CHANGES
coverage_bwtool()
to the
recount.bwtool package.NEW FEATURES
coverage_bwtool()
for computing coverage matrices
using bwtool for a user-specified list of bigWig files and a
user-specified phenotype table. It's heavily based on recount.bwtoolSIGNIFICANT USER-VISIBLE CHANGES
junctionCount()
uses check.names = FALSE
when calling DataFrame()
.
Related to a bug Badoi Phan reported.BUG FIXES
junctionCount()
work for single-end
libraries. Still need to trace why ? are being added as the strand.NEW FEATURES
getT()
function.NEW FEATURES
agePlotter()
-- missing examples and testsNEW FEATURES
junctionCount()
-- missing examples and testsNEW FEATURES
getR2()
-- missing examples and testsNEW FEATURES
cleaningY()
-- missing examples and testsNEW FEATURES
getOR()
SIGNIFICANT USER-VISIBLE CHANGES
splitit()
since it's available in rafalib.NEW FEATURES
ss()
as a wrapper for string split()
and sapply()
.splitit()
and split0()
that splits a vector into a list and return
the integer indexes of the elements.getPcaVars()
which computes the percent of variance explained
for the principal components of prcomp object.getF()
.Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.