Together with other review articles 6, 7, it provides valuable decision support for researchers and lab managers. Thus, this review will give an in-depth overview of the most interesting LIMS for proteomics. Therefore, information about the chosen LIMS have been collected by contacting the producers, trying to get test versions or online access to reference installations, performing online searches, reading available product information and documentation sheets as well as interviewing lab researchers. To this end we first formulated both our definition of LIMS and the following four selection criteria for choosing the most interesting LIMS for proteomics:ĭetectability through online and literature searches,įinally seven LIMS met these criteria and we started to review them. Today it is agreed in industry as well as in academic research that the documentation of the whole research process with a community agreed minimal set of parameters 3 is necessary to compare the own data set and results with other results, and to understand the relationship of the own findings in the context of the complexity of biology 4, 5.Įspecially we try to define, what is meant by “LIMS” in proteomics, and review some existing LIMS with regard to their features and usability. For instance, comparison of data was often impossible, and in some cases necessary information was lacking or – even worse – the loss of whole data sets happened. This had many advantages, but even more disadvantages.
The researcher himself was responsible for the structure and the documentation of these files, which were used together with the hardcopy of his lab documents as storage for data and results. Many years ago it was sufficient to store the results in the file system of the researcher's PC. However, in the same decade the data amount has grown equally fast 2. The technical possibilities for storing data have grown fast over the last decade. But this example leads to the problems of data storage in proteomics research. In the beginning of any kind of project organizing, data is a very important step, like the CERN project demonstrates 1, where data are distributed over countries.
Today data storage and data handling of large amounts of data is a solvable task.
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