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amica: an interactive and user-friendly web-platform for the analysis of proteomics data
Sebastian Didusch1,2,3, Moritz Madern4,5, Markus Hartl4,5
1Max Perutz Labs, Vienna Biocenter Campus (VBC), Dr.-Bohr-Gasse 9, 1030, Vienna, Austria. sebastian.didusch@univie.ac.at.
BMC Genomics
|December 9, 2022
Summary
amica is a free, open-source software simplifying complex quantitative proteomics data analysis for biologists. It offers quality control, differential expression, and network analysis, making high-throughput data accessible to all researchers.
Area of Science:
- Life Sciences
- Proteomics
- Bioinformatics
Background:
- Quantitative proteomics is a powerful tool in life sciences.
- High-throughput data analysis presents a significant challenge for biologists.
Purpose of the Study:
- To develop a user-friendly software solution for quantitative proteomics data analysis.
- To lower the barrier to entry for biologists with limited bioinformatics experience.
Main Methods:
- Development of amica, a free, open-source, web-based software.
- Integration of quality control, differential expression, and network analysis functionalities.
- Interactive query interface for comparing multiple conditions and identifying protein enrichment/depletion.
Main Results:
- amica accepts proteomic input files from various sources.
- Provides automated quality control, differential expression, and network analysis.
- Enables interactive exploration, visualization, and export of results in tab-separated format.
Conclusions:
- amica facilitates complex proteomic data analysis for users of all experience levels.
- Dynamic interactions, database integration, and data export enhance usability.
- Freely available web application and source code promote accessibility and collaboration.
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