BMC GenomicsBioinformaticsPeer-reviewed journal article
amica: an interactive and user-friendly web-platform for the analysis of proteomics data
Sebastian DiduschiD, Moritz MaderniD, Markus HartliD, Manuela BaccariniiD
Abstract
SummaryQuantitative proteomics has become an increasingly prominent tool in the study of life sciences. A substantial hurdle for many biologists are, however, the intricacies involved in the associated high throughput data analysis. In order to facilitate this task for users with limited background knowledge, we have developed amica, a freely available open-source web-based software that accepts proteomic input files from different sources and provides quality control, differential expression, biological network and over-representation analysis on the basis of minimal user input. Scientists can use amica interactively to compare proteins across multiple groups, create customized output graphics, and ultimately export the results in a tab-separated format that can be shared with collaborators. Availability and ImplementationThe code for the application, input data and documentation can be accessed online at https://github.com/tbaccata/amica and is also incorporated in the web application. A freely available version of amica is available at https://bioapps.maxperutzlabs.ac.at/app/amica.
- assay: proteomics
- research focus: software / tool
- research focus: differential expression
- research focus: database / resource
- approach: statistical model
- approach: benchmark study
- Citations
- 64
- FWCI
- 4.00
- Field percentile
- top 4%
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