Data and software

There are various types of scientific software, designed to support a wide range of scientific and research tasks. Firstly, data analysis software comprises of tools for analyzing and interpreting scientific data, such as statistical software, data visualization tools, and machine learning platforms. Another example is simulation software that is used for modeling and simulating physical systems, such as computationa (more)l fluid dynamics (CFD) software, molecular dynamics software, and finite element analysis (FEA) software. In experimental sciences, imaging software is used for acquiring, processing, and analyzing images, such as microscopy software, medical imaging software, and satellite imagery software. Performing experiments can be made easier using laboratory informatics software: Tools for managing and organizing scientific data, such as laboratory information management systems (LIMS), electronic lab notebooks (ELN), and chemical inventory management software. Scientific visualization software helps creating visual representations of scientific data, such as 3D modeling software, graphics software, and data visualization tools. Other examples are software that is used for teaching and learning science, such as virtual laboratories, interactive simulations, and educational games. Special types of software are bioinformatics software for analyzing and interpreting biological data, such as gene expression analysis software, DNA sequence analysis software, and protein modeling software and geospatial software for analyzing and interpreting geospatial data, such as geographic information systems (GIS) software, remote sensing software, and cartography software. There's also bespoke software to design and manufacture objects and tools used in scientific research.