Chapter Integrative Systems Biology Resources and Approaches in Disease Analytics

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,...

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Päätekijät: Fernandes, Marco, Husi, Holger
Aineistotyyppi: Online
Kieli:englanti
Julkaistu: InTechOpen 2021
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Linkit:ONIX_20210602_10.5772/intechopen.84834_444
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author Fernandes, Marco
Husi, Holger
author_browse Fernandes, Marco
Husi, Holger
author_facet Fernandes, Marco
Husi, Holger
author_sort Fernandes, Marco
collection Directory of Open Access Books
description 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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spelling doab-20.500.12854ir-702152025-08-13T14:11:39Z Chapter Integrative Systems Biology Resources and Approaches in Disease Analytics Fernandes, Marco Husi, Holger systems medicine, bioinformatics, omics, data integration, pathway analysis thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBF Medical and health informatics thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBF Medical and health informatics 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 2019 chapter ONIX_20210602_10.5772/intechopen.84834_444 https://library.oapen.org/handle/20.500.12657/49330 https://directory.doabooks.org/handle/20.500.12854/70215 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/49330/1/66484.pdf https://library.oapen.org/bitstream/20.500.12657/49330/1/66484.pdf https://library.oapen.org/bitstream/20.500.12657/49330/1/66484.pdf InTechOpen 10.5772/intechopen.84834 10.5772/intechopen.84834 035ecc65-6737-43cf-a13a-6bdf67ce01f4 open access
spellingShingle systems medicine, bioinformatics, omics, data integration, pathway analysis
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBF Medical and health informatics
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBF Medical and health informatics
Fernandes, Marco
Husi, Holger
Chapter Integrative Systems Biology Resources and Approaches in Disease Analytics
title Chapter Integrative Systems Biology Resources and Approaches in Disease Analytics
title_full Chapter Integrative Systems Biology Resources and Approaches in Disease Analytics
title_fullStr Chapter Integrative Systems Biology Resources and Approaches in Disease Analytics
title_full_unstemmed Chapter Integrative Systems Biology Resources and Approaches in Disease Analytics
title_short Chapter Integrative Systems Biology Resources and Approaches in Disease Analytics
title_sort chapter integrative systems biology resources and approaches in disease analytics
topic systems medicine, bioinformatics, omics, data integration, pathway analysis
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBF Medical and health informatics
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBF Medical and health informatics
topic_facet systems medicine, bioinformatics, omics, data integration, pathway analysis
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBF Medical and health informatics
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBF Medical and health informatics
url ONIX_20210602_10.5772/intechopen.84834_444
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