Titlebook: Data Mining Techniques for the Life Sciences; Oliviero Carugo,Frank Eisenhaber Book 2022Latest edition The Editor(s) (if applicable) and T

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Deep Mining from Omics Datadely available to researchers. This has afforded clinicians, bioinformaticians, statisticians, and data scientists the opportunity to apply their innovations in feature mining and predictive modeling to a rich data resource to develop a wide range of generalizable prediction models. What has become

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antidote

Christian Zinke-Wehlmann,Julia Friedrichw how to cope with the problem of understanding which protein positions may be of interest for biotechnological and biomedical purposes. By applying a consensus procedure, we indicate possible strategies for the result interpretation.

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Tidious

W. Mulder,P. H. H. Rongen,G. R. Meijerst dedicated software to predict pH-dependent aggregation, and DispHred is the first pH-dependent predictor of protein disorder. Here we dissect the features of these two software applications to train and assist scientists in studying pH-dependent conformational changes in IDPs.

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IMEx Databases: Displaying Molecular Interactions into a Single, Standards-Compliant Datasette molecular interaction data to the highest caliber, following a detailed curation model and supplying rich metadata by employing common curation rules and harmonized standards. The IMEx Consortium provides comprehensively annotated molecular interaction data integrated into a single, non-redundant, open access dataset.