Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.
Boost application security and continuity with SKUDONET ADC, our Open Source Load Balancer, that maximizes IT infrastructure flexibility. Additionally, save up to $470 K per incident with AI and SKUDONET solutions, further enhancing your organization’s risk management and cost-efficiency strategies.
Red Hat Ansible Automation Platform on Azure allows you to quickly deploy, automate, and manage resources securely and at scale.
Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
Analyze time-course data with significance tests, clustering, modeling
Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included.
Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional...
A pipeline for quantitative proteomics based upon isobaric tags
IQuant is an automated pipeline for quantitative proteomics based upon isobaric tags. It integrates post-processing tool of protein identification and advanced statistical algorithms to process the MS/MS signals generated from the peptides labeled by isobaric tags for quantification. IQuant can run from a graphical user interface (GUI) as well as a command-line interface and work with both Windows and Linux system. This website contains the IQuant software, an example data labeled by iTRAQ...
AWclust is easy to use non-parametric population structure analysis software written for R with a GUI interface. Just point and click and you will be on your way to discovering the important cluster information in your SNP data sets.
Copy number variation (CNV) detection in exome sequencing data
FishingCNV, a software tool developed at McGill University, is a tool for comprehensive analysis of rare copy number variations in high-throughput exome sequencing data. The inputs are standard coverage files produced by Genome Analysis ToolKit (GATK), and the output is a file containing putative CNVs.
The program comes in 2 different releases
* GUI version (FishingCNV_X.X.X.zip)
* Command line version (FishingCNV_X.X_pipeline)
Browse through our files to find the different releases.
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
QSAR is a project that aims to build a GUI that enables people to build quantitative structure activity (or property) relationship models. It will use parts of CDK (cdk.sf.net), JOELib (joelib.sf.net), R (www.r-project.org) and other projects.
RReportGenerator aims to provide a simple and user-friendly multi-platform graphical user interface (GUI) allowing to run routine statistical analysis using R via predefined analysis scenarios to produce reports in pdf-format.
Structlab is a machine learning C++ framework for structured domains, which provides a toolbox of learning methods and tools for preprocessing and visualization. It also provides a GUI to setup elaborate experiments in a visual and intuitive way.
PROMPT is a system for retrieval, analysis, mapping and comparison of proteins. It allows easy mapping of different types of sequence IDs, data retrieval and integration, a multitude of analysis and comparison algorithms and a full-blown easy to use GUI.
Secure and customizable compute service that lets you create and run virtual machines on Google’s infrastructure.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.