OpenMS Consulting

Modern mass spectrometry allows the reliable and fast analysis of complex proteomic and metabolomic samples. OpenMS is a software platform for the analysis of such experimental data. The software is open-source and under the BSD license freely available. OpenMS Consulting is a Steinbeis company which provides OpenMS-based data analysis workflows and complete analyses of mass spectrometry data. Services: - Workflow design and optimisation - Complete data analyses - Implementation of new software features, urgent bug fixes - Installation and deployment - Support and training Key Areas: - Peptide and protein identification using sequence databases, spectral libraries and de novo searches - Peptide and protein quantification based on various techniques (label free, SILAC, dimethyl labelling, iTRAQ/TMT) - Implementation of new software features in C++ - Statistical analysis and visualization in Python and R Project Examples: - Development of complete data analysis workflows for pharmaceutical companies including deployment on the company’s high performance computing cluster - Complete data analyses of large-scale pharmaceutical studies - Training of scientific staff at research institutions and companies - Evaluation of OpenMS software solutions and comparison to alternative software platforms

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Modern mass spectrometry allows the reliable and fast analysis of complex proteomic and metabolomic samples. OpenMS is a software platform for the analysis of such experimental data. The software is open-source and under the BSD license freely available. OpenMS Consulting is a Steinbeis company which provides OpenMS-based data analysis workflows and complete analyses of mass spectrometry data. Services: - Workflow design and optimisation - Complete data analyses - Implementation of new software features, urgent bug fixes - Installation and deployment - Support and training Key Areas: - Peptide and protein identification using sequence databases, spectral libraries and de novo searches - Peptide and protein quantification based on various techniques (label free, SILAC, dimethyl labelling, iTRAQ/TMT) - Implementation of new software features in C++ - Statistical analysis and visualization in Python and R Project Examples: - Development of complete data analysis workflows for pharmaceutical companies including deployment on the company’s high performance computing cluster - Complete data analyses of large-scale pharmaceutical studies - Training of scientific staff at research institutions and companies - Evaluation of OpenMS software solutions and comparison to alternative software platforms

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