FastProtein-an automated software for in silico proteomic analysis

Although various tools provide proteomic information, each tool has limitations related to execution platforms, libraries, versions, and data output format. Integrating data generated from different software is a laborious process that can prolong analysis time. Here, we present FastProtein, a prote...

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Veröffentlicht in:PeerJ (San Francisco, CA) CA), 2024-10, Vol.12, p.e18309, Article e18309
Hauptverfasser: Moreira, Renato Simões, Benetti Filho, Vilmar, Maia, Guilherme Augusto, Soratto, Tatiany Aparecida Teixeira, Kawagoe, Eric Kazuo, Russi, Bruna Caroline, Miletti, Luiz Cláudio, Wagner, Glauber
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Sprache:eng
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Zusammenfassung:Although various tools provide proteomic information, each tool has limitations related to execution platforms, libraries, versions, and data output format. Integrating data generated from different software is a laborious process that can prolong analysis time. Here, we present FastProtein, a protein analysis pipeline that is user-friendly, easily installable, and outputs important information about subcellular location, transmembrane domains, signal peptide, molecular weight, isoelectric point, hydropathy, aromaticity, gene ontology, endoplasmic reticulum retention domains, and N-glycosylation domains. It also helps determine the presence of glycosylphosphatidylinositol and obtain functional information from InterProScan, PANTHER, Pfam, and alignment-based annotation searches. FastProtein provides the scientific community with an easy-to-use computational tool for proteomic data analysis. It is applicable to both small datasets and proteome-wide studies. It can be used through the command line interface mode or a web interface installed on a local server. FastProtein significantly enhances proteomics analysis workflows by producing multiple results in a single-step process, thereby streamlining and accelerating the overall analysis. The software is open-source and freely available. Installation and execution instructions, as well as the source code and test files generated for tool validation, are available at https://github.com/bioinformatics-ufsc/FastProtein.
ISSN:2167-8359
2167-8359
DOI:10.7717/peerj.18309