Registry Catalogue

VSN – Variance Stabilization and Normalization VSN is an R/Bioconductor package for normalizing microarray intensities from single- and multiple-color arrays. The method combines calibration, normalization, and variance-stabilizing transformation using a robust maximum-likelihood estimator for an additive-multiplicative error model. Although developed for microarray data, VSN can also be applied to other data types with a similar intensity-based format. Key benefits Normalizes intensity data from single- and multiple-color microarrays Combines affine calibration with variance stabilization Models the dependence of variance on mean intensity Produces transformed intensities comparable to normalized log-ratios Can improve sensitivity and specificity in differential transcription analysis Applications Normalization of microarray intensity data Preprocessing of single- and multiple-color array experiments Variance stabilization before downstream statistical analysis Differential transcription analysis from transformed intensity values Application to other intensity-based omics datasets with compatible data structure Intended use VSN is intended for bioinformaticians, transcriptomics researchers, statistical genomics researchers, and life scientists working with microarray or similar intensity-based omics data. It is particularly suited for users who need robust normalization and variance stabilization before downstream analysis, visualization, or differential transcription studies.

Wally is a tool for visualizing aligned sequencing reads and contigs. It supports the inspection of sequence alignments and assembly results, helping users assess read placement, contig structure, and alignment patterns. As part of the GEAR toolbox, Wally complements sequence analysis workflows by providing visual access to aligned genomic data. Key benefits Visualizes aligned sequencing reads and contigs Supports inspection of sequence alignment results Helps assess contig structure and read placement Useful for quality control and interpretation of genome analysis outputs Complements command-line and web-based GEAR workflows Applications Visualization of read alignments Inspection of assembled contigs Quality assessment of sequencing and assembly results Exploration of local alignment patterns Review of genome analysis outputs in research or teaching workflows Intended use Wally is intended for molecular biologists, genomics researchers, sequencing facilities, and bioinformaticians who need to inspect aligned reads or contigs. It is particularly suited for users who want a visual overview of sequencing results to support quality control, troubleshooting, and interpretation.

WebApps provide user-friendly, web-based access to mass spectrometry data analysis and visualization workflows built using the OpenMS ecosystem. The service enables researchers to process, inspect, and interpret MS-based proteomics, metabolomics, and related omics data directly through interactive browser interfaces, without requiring local software installation or command-line expertise. The platform is designed to make advanced OpenMS functionality more accessible to life scientists, bioinformaticians, and method developers. It supports interactive data exploration, visual quality control, workflow execution, and result inspection in a reproducible and shareable environment. By combining established OpenMS algorithms with modern web technologies, the WebApps lowers the barrier for applying computational mass spectrometry methods in research, teaching, and collaborative projects. Typical use cases include interactive visualization of spectra and identifications, exploration of search results, quality control reporting, targeted workflow interfaces, and educational demonstrations. The service can also serve as a template for developing specialized web applications around OpenMS tools and workflows. Key features: - Web-based access to OpenMS-powered MS analysis tools - Interactive visualization and inspection of mass spectrometry data - No local installation required for end users - Support for reproducible and shareable analysis sessions - Extensible framework for building domain-specific MS web applications - Suitable for research, teaching, and training Target users: OpenMS WebApps is intended for experimental scientists, bioinformaticians, software developers, and educators who want accessible, interactive, and reproducible tools for computational mass spectrometry. For a full list of provided WebApps visit: https://openms.de/

WESkit is an implementation of the Workflow Execution Service (WES) API defined by the Global Alliance for Genomics and Health (GA4GH). It provides a standardized, programmatic interface to submit, monitor, and manage computational workflows across different execution environments. By exposing workflow execution through a common API, WESkit supports interoperable workflow services for bioinformatics, genomics, and federated research infrastructures. Key benefits Standards-based implementation of the GA4GH WES specification Unified API for workflow submission, monitoring, and management Backend-agnostic design for different workflow engines and compute infrastructures Suitable for local systems, HPC clusters, and cloud environments Supports automation and integration into larger research platforms Applications Deployment of interoperable workflow execution services Standardized execution of genomics and bioinformatics pipelines Integration of workflow engines with institutional or federated infrastructures Automated submission and monitoring of computational analyses Platform development for cloud, HPC, or hybrid research environments Intended use WESkit is intended for infrastructure developers, platform engineers, bioinformatics service providers, and workflow system developers who want to expose workflow execution capabilities through a GA4GH-compliant interface. It is particularly suited for projects that require standardized, programmatic workflow control across heterogeneous compute backends.

Workflow Plug-Ins for NGS Processing – Standardized Pipelines for Sequencing Data Analysis Workflow Plug-Ins for NGS Processing provide workflow components and pipelines for common next-generation sequencing data processing tasks. The plug-ins support standardized processing of major sequencing data types, including whole-exome sequencing, whole-genome sequencing, whole-genome bisulfite sequencing, and RNA-seq. They cover core analysis steps such as alignment, quality control, and variant calling for SNVs, indels, copy number variants, and structural variants. Key benefits Provides standardized workflow plug-ins for common NGS processing tasks Supports WES, WGS, WGBS, and RNA-seq data analysis Covers alignment, quality control, and variant calling workflows Includes support for SNV, indel, CNV, and structural variant detection Suitable for reproducible sequencing data processing in research infrastructures Applications Processing of whole-exome and whole-genome sequencing data Alignment and quality control of NGS datasets RNA-seq and whole-genome bisulfite sequencing workflows Detection of SNVs, indels, copy number variants, and structural variants Integration of standardized NGS workflows into institutional analysis environments Intended use Workflow Plug-Ins for NGS Processing are intended for bioinformaticians, genomics researchers, sequencing facilities, and infrastructure teams who need reproducible workflows for routine NGS data processing. They are particularly suited for users working with large-scale sequencing projects that require standardized alignment, quality control, and variant calling pipelines.