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ProteoWizard development moved to GitHub in 2018.
The ProteoWizard Library is a set of software libraries and tools for rapid development of proteomics data analysis software.
The libraries are cross-platform and built from the ground up using modern C++ techniques.
AJT is a set of utility classes for Java for handling some bioinformatics data, graphics file export, GUI widgets, and classes that should long have been added to the official Java API.
This library is a lightweight implementation of genetic algorithm, contains the most popular types of chromosomes and the basic algorithms for selection, elitism, crossing and mutation.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
This is a C library with a set of functions that allow the user to evolve biological networks. The user provides a fitness function in C, and the library will do the rest. A few simulation algorithms and examples are included.
MASQOT-GUI is an open-source, platform-independent application for two-channel microarray spot quality control. Included is a set of tools for gridding, segmentation, quantification, multivariate spot quality assessment and data visualization.
Disease Gene Profiler (DGP) comprises of a set of (bioinformatics) tools that can be used to identify the genes underlying susceptibility to common multifactorial diseases (such as diabetes, asthma and cancer) using freely available datasources.
Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The