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• W4255469055 abstract "De-novo motif search is a frequently applied bioinformatics procedure to identify and prioritize recurrent elements in sequences sets for biological investigation, such as the ones derived from high-throughput differential expression experiments. Several algorithms have been developed to perform motif search, employing widely different approaches and often giving divergent results. In order to maximize the power of these investigations and ultimately be able to draft solid biological hypotheses, there is the need for applying multiple tools on the same sequences and merge the obtained results. However, motif reporting formats and statistical evaluation methods currently make such an integration task difficult to perform and mostly restricted to specific scenarios. We thus introduce here the Dynamic Motif Integration Toolkit (DynaMIT), an extremely flexible platform allowing to identify motifs employing multiple algorithms, integrate them by means of a user-selected strategy and visualize results in several ways; furthermore, the platform is user-extendible in all its aspects. DynaMIT is freely available at http://cibioltg.bitbucket.org." @default.
• W4255469055 created "2022-05-12" @default.
• W4255469055 creator A5085703369 @default.
• W4255469055 creator A5085732836 @default.
• W4255469055 date "2015-08-07" @default.
• W4255469055 modified "2023-09-25" @default.
• W4255469055 title "DynaMIT: the dynamic motif integration toolkit" @default.
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• W4255469055 doi "https://doi.org/10.1093/nar/gkv807" @default.
• W4255469055 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26253738" @default.
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