Standard is a port of StandardJS. Like StandardJS, it aims to save time in the following ways:
No configuration.
Automatically format code.
Catch style issues and programmer errors early.
The official GitLab Runner written in Go. It runs tests and sends the results to GitLab. GitLab CI is the open-source continuous integration service included with GitLab that coordinates the testing.
roman-to-kana is a tool for converting roman (English) text to kana (Japanese).
The first command line argument is taken as the input string:
roman_to_kana "text to be translated"
This package provides tools to visualize read coverage from sequencing experiments together with genomic annotations (genes, transcripts, peaks). Introns of long transcripts can be rescaled to a fixed length for better visualization of exonic read coverage.
ChIPKernels is an R package for building different string kernels used for DNA Sequence analysis. A dictionary of the desired kernel must be built and this dictionary can be used for determining kernels for DNA Sequences.
Asynchronous Reliable Extensible Sleek RPC Server for Guile. It's based on nREPL protocol and can be used for programmable interactions with a running guile processes, for implementing REPLs, IDEs, test runners or other tools.
Diff::LCS computes the difference between two Enumerable sequences using the McIlroy-Hunt longest common subsequence (LCS) algorithm. It includes utilities to create a simple HTML diff output format and a standard diff-like tool.
Asynchronous Reliable Extensible Sleek RPC Server for Guile. It's based on nREPL protocol and can be used for programmable interactions with a running guile processes, for implementing REPLs, IDEs, test runners or other tools.
The ReactomeGSA packages uses Reactome's online analysis service to perform a multi-omics gene set analysis. The main advantage of this package is, that the retrieved results can be visualized using REACTOME's powerful webapplication. Since Reactome's analysis service also uses R to perfrom the actual gene set analysis you will get similar results when using the same packages (such as limma and edgeR) locally. Therefore, if you only require a gene set analysis, different packages are more suited.
TrackViewer offers multi-omics analysis with web based tracks and lollipops. Visualize mapped reads along with annotation as track layers for NGS datasets such as ChIP-seq, RNA-seq, miRNA-seq, DNA-seq, SNPs and methylation data.
This package translates bedtools command-line invocations to R code calling functions from the Bioconductor *Ranges infrastructure. This is intended to educate novice Bioconductor users and to compare the syntax and semantics of the two frameworks.
The file processes to produce (real) rulers; the author suggests printing them on transparent plastic and trimming for use as a real ruler. The rule widths are 0.05mm, which can be challenging for (old) laser printers.
This package implements a DelayedArray backend for reading and writing dense or sparse arrays in the TileDB format. The resulting TileDBArrays are compatible with all Bioconductor pipelines that can accept DelayedArray instances.
This package provides microarray data (from the Illumina Ref-8 BeadChips platform) and phenotype-level data from an epidemiological investigation of benzene exposure, packaged using SummarizedExperiemnt, for use as an example with the biotmle R package.
This package handles very large numbers in R. Real numbers are held using their natural logarithms, plus a logical flag indicating sign. The package includes a vignette that gives a step-by-step introduction to using S4 methods.
This package provides methods for microarray analysis that take basic data types such as matrices and lists of vectors. These methods can be used standalone, be utilized in other packages, or be wrapped up in higher-level classes.
Calculates a single number for a whole sequence that reflects the propensity of a DNA binding protein to interact with it. The DNA binding protein has to be described with a PFM matrix, for example gotten from Jaspar.
The rawkit package provides two modules: rawkit and libraw. The rawkit module provides a high-level Pythonic interface for developing raw photos, while the libraw module provides a CTypes based interface for interacting with the low-level LibRaw C APIs.
Subsampled Hi-C in HEK cells expressing the NHA9 fusion with an F to S mutated IDR ("FS") or without any mutations to the IDR ("Wildtype" or "WT"). These files are used for testing mariner functions and some examples.
Inspect interactively the spatially-resolved transcriptomics data from the 10x Genomics Visium platform as well as data from the Maynard, Collado-Torres et al, Nature Neuroscience, 2021 project analyzed by Lieber Institute for Brain Development (LIBD) researchers and collaborators.
This package contains companion data to the scanMiR package. It contains `KdModel` (miRNA 12-mer binding affinity models) collections corresponding to all human, mouse and rat mirbase miRNAs. See the scanMiR package for details.
This package implements a variety of persistent homology algorithms. It provides an interface for
computing persistence cohomology of sparse and dense data sets
visualizing persistence diagrams
computing lowerstar filtrations on images
computing representative cochains
This module provides a facility for creating non-modifiable variables in Perl. This is useful for configuration files, headers, etc. It can also be useful as a development and debugging tool for catching updates to variables that should not be changed.
CiteProc is a citation processor interface and citation data API based on the CSL specifications. To actually process citations, a dedicated processor engine is required: a pure Ruby engine is available in the citeproc-ruby gem.