NEWS
hermes 1.7.2.9004
Miscellaneous
- Changed maintainer email address.
hermes 1.7.1
Enhancements
- New plotting function
draw_heatmap
to produce heatmaps of (normalized) counts.
Miscellaneous
- The utility function
df_cols_to_factor
now also converts existing factors to having explicit missing levels.
- Version bump on
forcats
dependency.
- Removed
ggplot2
deprecation warning ..count..
.
hermes 1.0.1
Enhancements
- Additional
version
argument for connect_biomart
to specify an Ensembl
version.
hermes 1.0.0
Meta
- First public release of the
hermes
package.
- Submission to
BioConductor
.
Enhancements
- Better legends on the genes barplot and the correlation heatmap.
- Improved vignette layout using the
BioConductor
style.
Miscellaneous
- New utility function
cut_quantile
for cutting a numeric vector into quantiles.
- New utility function
cat_with_newline
for concatenating and printing with newline.
- New check function
check_proportion
which checks for a single proportion.
hermes 0.1.1
New Features
- New function
draw_scatterplot
to produce scatterplots of two genes or gene signatures.
- New function
draw_boxplot
for boxplots of gene expression values.
- New function
draw_barplot
for barplots of dichotomized gene expression counts into two or three percentile categories.
- New helper function
wrap_in_mae
that wraps a single SummarizedExperiment
object into an MAE object.
- New method
rename
that makes renaming columns of rowData
and colData
as well as assay names in existing SummarizedExperiment
objects much easier, as a step before converting to HermesData
.
- New method
lapply
that allows user to apply a function on all experiments in a MultiAssayExperiment
.
- New method
isEmpty
that checks whether a SummarizedExperiment
object is empty.
- New gene filtering option
n_top
in the calc_pca
function, which allows filtering genes with greatest variability across samples.
- New class
GeneSpec
for specification of genes or gene signatures, see ?gene_spec
for simple construction. Inclusion of gene signature functions colPrinComp1
and colMeanZscores
to supplement standard column statistics functions.
- New helper function
col_data_with_genes
which extracts the sample variables saved in colData
together with selected gene information as a combined data set.
- New helper function
inner_join_cdisc
which joins genetic with CDISC data sets.
Bug Fixes
normalize()
now also works when the hermes
package is not loaded, i.e. you can use it with hermes::normalize()
.
correlate()
now also works when there are factor variables in the sample variables of the HermesData
object.
add_quality_flags()
does no longer return NA
as the technical failure flags for the samples if there is only a single gene contained in the input, but instead a vector of FALSE
to ensure correct downstream functionality.
Miscellaneous
- Updated
LICENCE
and README
with new package references.
- The
multi_assay_experiment
now contains HermesData
experiments, different patient IDs, one experiment with normalized assays, and multiple samples per patient in one experiment.
- The main
HermesData
example is now saved in the package as hermes_data
, and the previous summarized_experiment
is still available. Note that patient IDs have been changed in the new version to align with the multi_assay_experiment
.
- Renaming of required
rowData
and colData
columns to be more consistent with standards and use lowercase snake-case names.
- Annotation querying and setting is now more flexible in that it also allows to query more annotations than the required ones.
- Instead of gene starts and ends, the total length of gene exons is now used as the annotation column
size
. Corresponding queries from BioMart
are used to return this gene size.
df_char_to_factor
has been deprecated (and can still be used with a warning) and replaced with df_cols_to_factor
, which also converts logical variables to factor variables.
- When providing
SummarizedExperiment
objects containing DelayedMatrix
assays to the HermesData()
constructor, these are silently converted to matrix
assays to ensure downstream functionality.
hermes 0.1.0
- First internal release of the
hermes
package, which contains classes, methods and functions to import, quality-check, filter, normalize, and analyze RNAseq
counts data for differential expression.
hermes
is a successor of the rnaseqTools
R package. The core functionality is built on the BioConductor
ecosystem, especially the SummarizedExperiment
class. New users should first begin by reading the "Introduction to hermes
" vignette to become familiar with the hermes
concepts.
New Features
- Import
RNAseq
count data into the hermes
ready format.
- Annotate gene information from the
Ensembl
database via biomaRt
.
- Add quality control (QC) flags to genes and samples.
- Filter and subset the data set.
- Normalize the counts.
- Produce descriptive plots.
- Perform principal components analysis.
- Produce a templated QC
Rmd
report.
- Perform differential expression analysis.