This package provides a partial Go implementation of the Remote Call Procedure libraries, presented in @urlhttp://pubs.opengroup.org/onlinepubs/9629399/,CDE 1.1: Remote Procedure Call.

This package allows you to execute org-mode source code blocks with eval-in-repl. It can execute code blocks asynchronously, without needing to write the result into the buffer.

This package is a simple Go library that provides retry functionality for functions that may fail. It includes various customizable retry strategies, such as fixed delay, backoff delay, and random delay.

Cucumber HTML Formatter produces a HTML report for Cucumber runs. It is built on top of cucumber-react and works with any Cucumber implementation with a protocol buffer formatter that outputs Cucumber messages.

Full genomic sequences for UCSC genome hs1 (the hs1 genome is based on assembly T2T-CHM13v2.0, with GenBank assembly accession GCA_009914755.4). The sequences are stored in DNAString objects.

This package is designed to store minor allele frequency data. It retrieves this data from the Genome Aggregation Database (gnomAD version 3.1.2) for the human genome version GRCh38.

GNU Linux-Libre is a free (as in freedom) variant of the Linux kernel. It has been modified to remove all non-free binary blobs. Configuration options and patches have been applied for use with MNT/Reform systems.

The Purchase Requisition Tryton module allows users to create their requests for product supply (purchase requisitions). Those requisitions will be approved or rejected by the approval group, whoich typically is the purchasing department. On approval, purchase requests will be created.

This fork of RStudio allows users to switch to different versions of R from the toolbar or project settings. R versions can be recorded in /etc/rstudio/r-versions and in the user's ~/.local/share/rstudio/r-versions.

This piece of code sets up some reader macros that make it simpler to input string literals which contain backslashes and double quotes This is very useful for writing complicated docstrings and, as it turns out, writing code that contains string literals that contain code themselves.

This package provides the Magic-Wormhole Transit Relay server, which helps clients establish bulk-data transit connections even when both are behind NAT boxes. Each side makes a TCP connection to this server and presents a handshake. Two connections with identical handshakes are glued together, allowing them to pretend they have a direct connection.

Node SerialPort is a modular suite of Node.js packages for accessing serial ports. The Guix package node-serialport provides the recommended high-level interface.

Parsers are used to take raw binary data and transform them into usable messages. This package provides Regex, a parser that uses a regular expression to split the incoming text.

Node SerialPort is a modular suite of Node.js packages for accessing serial ports. The Guix package node-serialport provides the recommended high-level interface.

Parsers are used to take raw binary data and transform them into usable messages. This package provides Ready, a parser that waits for a specified sequence of ``ready'' bytes before emitting a ready event and emitting data events.

This package provides very fast logistic regression with coefficient inferences plus other useful methods such as a forward stepwise model generator (see the benchmarks by visiting the github page at the URL below). The inputs are flexible enough to accomodate GPU computations. The coefficient estimation employs the fastLR() method in the RcppNumerical package by Yixuan Qiu et al. This package allows their work to be more useful to a wider community that consumes inference.

The parameters p and q are estimated with the aid of a randomized Sierpinski Carpet which is built on a [p-p-p-q]-model. Thereby, for three times a simulation with a p-value and once with a q-value is assumed. Hence, these parameters are estimated and displayed. Moreover, functions for simulating random Sierpinski-Carpets with constant and variable probabilities are included. For more details on the method please see Hermann et al. (2015) <doi:10.1002/sim.6497>.

Defines a S4 class that is based on SingleCellExperiment. In addition to the usual gene layer the object can also store data for immune genes such as HLAs, Igs and KIRs at allele and functional level. The package is part of a workflow named single-cell ImmunoGenomic Diversity (scIGD), that firstly incorporates allele-aware quantification data for immune genes. This new data can then be used with the here implemented data structure and functionalities for further data handling and data analysis.

SingleMoleculeFootprinting provides functions to analyze Single Molecule Footprinting (SMF) data. Following the workflow exemplified in its vignette, the user will be able to perform basic data analysis of SMF data with minimal coding effort. Starting from an aligned bam file, we show how to perform quality controls over sequencing libraries, extract methylation information at the single molecule level accounting for the two possible kind of SMF experiments (single enzyme or double enzyme), classify single molecules based on their patterns of molecular occupancy, plot SMF information at a given genomic location.

This data package contains the code used to analyse the single-cell RNA-seq and the bulk ATAC-seq data from the manuscript titled: Single-cell transcriptome analysis reveals coordinated ectopic-gene expression patterns in medullary thymic epithelial cells. This paper was published in Nature Immunology 16,933-941(2015). The data objects provided in this package has been pre-processed: the raw data files can be downloaded from ArrayExpress under the accession identifiers E-MTAB-3346 and E-MTAB-3624. The vignette of this data package provides a documented and reproducible workflow that includes the code that was used to generate each statistic and figure from the manuscript.

Snow profiles describe the vertical (1D) stratigraphy of layered snow with different layer characteristics, such as grain type, hardness, deposition date, and many more. Hence, they represent a data format similar to multivariate time series containing categorical, ordinal, and numerical data types. Use this package to align snow profiles by matching their individual layers based on Dynamic Time Warping (DTW). The aligned profiles can then be assessed with an independent, global similarity measure that is geared towards avalanche hazard assessment. Finally, through exploiting data aggregation and clustering methods, the similarity measure provides the foundation for grouping and summarizing snow profiles according to similar hazard conditions. In particular, this package allows for averaging large numbers of snow profiles with DTW Barycenter Averaging and thereby facilitates the computation of individual layer distributions and summary statistics that are relevant for avalanche forecasting purposes. For more background information refer to Herla, Horton, Mair, and Haegeli (2021) <doi:10.5194/gmd-14-239-2021>, Herla, Mair, and Haegeli (2022) <doi:10.5194/tc-16-3149-2022>, and Horton, Herla, and Haegeli (2024) <doi:10.5194/egusphere-2024-1609>.

This package provides an implementation of the RDF4J Rio API, which reads and writes XML.

This package provides an implementation of the RDF4J Rio API, which reads and writes Turtle.

This package provides an implementation of the RDF4J Rio API, which reads and writes NQuads.

This package provides a method to decompose a univariate time series into meaningful subcomponents for analysis and denoising.