r-bioc-drimseq
Differential transcript usage and tuQTL analyses with
Dirichlet-multinomial model in RNA-seq The package provides two
frameworks. One for the differential transcript usage analysis
between different conditions and one for the tuQTL analysis. Both
are based on modeling the counts of genomic features (i.e.,
transcripts) with the Dirichlet-multinomial distribution. The
package also makes available functions for visualization and
exploration of the data and results.
node-redux-devtools-core
Live-editing time travel environment for node-redux
Redux DevTools is a live-editing time travel environment for Redux. Features:
* inspect every state and action payload
* go back in time by “cancelling” actions
* if the reducer code change, each “staged” action will be re-evaluated
* if the reducers throw, one can see during which action this happened, and
what the error was
* with `persistState()` store enhancer, one can persist debug sessions across
page reloads
fonts-adobe-sourcesans3
Sans serif font family for user interface environments
Source Sans 3 is developed by Paul D. Hunt at Adobe Fonts. It is designed to
work well in user interface (UI) environments and draws inspiration from the
clarity and legibility of twentieth-century American gothic typeface designs.
Prior to 2020 this font was named Source Sans Pro.
r-bioc-s4arrays
foundation of array-like containers in Bioconductor
The S4Arrays package defines the Array virtual class to be
extended by other S4 classes that wish to implement a container
with an array-like semantic. It also provides: (1) low-level
functionality meant to help the developer of such container to
implement basic operations like display, subsetting, or coercion
of their array-like objects to an ordinary matrix or array, and
(2) a framework that facilitates block processing of array-like
objects (typically on-disk objects).
r-bioc-rcwl
An R interface to the Common Workflow Language
The Common Workflow Language (CWL) is an open standard for development
of data analysis workflows that is portable and scalable across
different tools and working environments. Rcwl provides a simple way to
wrap command line tools and build CWL data analysis pipelines
programmatically within R. It increases the ease of usage, development,
and maintenance of CWL pipelines.
r-bioc-noiseq
Exploratory analysis and differential expression for RNA-seq data
Analysis of RNA-seq expression data or other similar kind of data.
Exploratory plots to evualuate saturation, count distribution,
expression per chromosome, type of detected features, features length,
etc. Differential expression between two experimental conditions with
no parametric assumptions.