The increasing wealth of transcriptomic data and current computational tools enable to infer how protein interactomes and complexomes may be assembled in specific samples. With CompleXChange this information can be exploited to conduct differential analyses of the dynamic protein complexome in a quantitative manner.
The corresponding publication can be found on https://doi.org/10.1186/s12859-019-2852-z.

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Categories

Bio-Informatics

License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Intended Audience

Science/Research

User Interface

Console/Terminal, Command-line

Programming Language

Java

Related Categories

Java Bio-Informatics Software

Registered

2017-12-08