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oapen-20.500.12657-493302021-11-23T13:57:26Z Chapter Integrative Systems Biology Resources and Approaches in Disease Analytics Fernandes, Marco Husi, Holger systems medicine, bioinformatics, omics, data integration, pathway analysis bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBF Medical bioinformatics Currently, our analytical competences are struggling to keep-up the pace of in-deep analysis of all generated large-scale data resultant of high-throughput omics platforms. While, a substantial effort was spent on methods enhancement regarding technical aspects across many detection omics platforms, the development of integrative down-stream approaches is still challenging. Systems biology has an immense applicability in the biomedical and pharmacological areas since the main goal of those focuses in the translation of measured outputs into potential markers of a Human ailment and/or to provide new compound leads for drug discovery. This approach would become more straightforward and realistic to use in standard analysis workflows if the collation of all available information of every component of a biological system was ensured into a single database framework, instead of search and fetch a single component at time across a scatter of databases resources. Here, we will describe several database resources, standalone and web-based tools applied in disease analytics workflows based in data-driven integration of outputs of multi-omic detection platforms. 2021-06-02T10:12:19Z 2021-06-02T10:12:19Z 2019 chapter ONIX_20210602_10.5772/intechopen.84834_444 https://library.oapen.org/handle/20.500.12657/49330 eng application/pdf n/a 66484.pdf InTechOpen 10.5772/intechopen.84834 10.5772/intechopen.84834 09f6769d-48ed-467d-b150-4cf2680656a1 FP7-PEOPLE-2013-ITN 608332 open access
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Currently, our analytical competences are struggling to keep-up the pace of in-deep analysis of all generated large-scale data resultant of high-throughput omics platforms. While, a substantial effort was spent on methods enhancement regarding technical aspects across many detection omics platforms, the development of integrative down-stream approaches is still challenging. Systems biology has an immense applicability in the biomedical and pharmacological areas since the main goal of those focuses in the translation of measured outputs into potential markers of a Human ailment and/or to provide new compound leads for drug discovery. This approach would become more straightforward and realistic to use in standard analysis workflows if the collation of all available information of every component of a biological system was ensured into a single database framework, instead of search and fetch a single component at time across a scatter of databases resources. Here, we will describe several database resources, standalone and web-based tools applied in disease analytics workflows based in data-driven integration of outputs of multi-omic detection platforms.
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