OpenMS–an open-source software framework for mass spectrometry
M Sturm, A Bertsch, C Gröpl, A Hildebrandt… - BMC …, 2008 - Springer
Background Mass spectrometry is an essential analytical technique for high-throughput
analysis in proteomics and metabolomics. The development of new separation techniques,
precise mass analyzers and experimental protocols is a very active field of research. This
leads to more complex experimental setups yielding ever increasing amounts of data.
Consequently, analysis of the data is currently often the bottleneck for experimental studies.
Although software tools for many data analysis tasks are available today, they are often hard …
analysis in proteomics and metabolomics. The development of new separation techniques,
precise mass analyzers and experimental protocols is a very active field of research. This
leads to more complex experimental setups yielding ever increasing amounts of data.
Consequently, analysis of the data is currently often the bottleneck for experimental studies.
Although software tools for many data analysis tasks are available today, they are often hard …
OpenMS–An open-source software framework for mass spectrometry
ST Ole, P Nico, L Eva, H Rene, H Andreas, G Clemens… - 2008 - agris.fao.org
Background Mass spectrometry is an essential analytical technique for high-throughput
analysis in proteomics and metabolomics. The development of new separation techniques,
precise mass analyzers and experimental protocols is a very active field of research. This
leads to more complex experimental setups yielding ever increasing amounts of data.
Consequently, analysis of the data is currently often the bottleneck for experimental studies.
Although software tools for many data analysis tasks are available today, they are often hard …
analysis in proteomics and metabolomics. The development of new separation techniques,
precise mass analyzers and experimental protocols is a very active field of research. This
leads to more complex experimental setups yielding ever increasing amounts of data.
Consequently, analysis of the data is currently often the bottleneck for experimental studies.
Although software tools for many data analysis tasks are available today, they are often hard …
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