The ever-increasing number of bioinformatics software tools that are publicly available, is leading to greater expectations about its regular use in clinical practice. However, from the end-users' perspective, they face many time the challenge of choosing the right tool for each task, from a panoply of solutions that have been developed over the years. In this paper, we propose a benchmarking methodology, based on a set of performance indicators, which can be used to identify the best methods and tools for each particular use case, both in research as in clinical practice.
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