Introduction to Systems Biology : Workbook for Flipped-classroom Teaching
This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, m...
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| Formato: | Libro |
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Open Book Publishers
2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3570409&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 3570409 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Introduction to Systems Biology : Workbook for Flipped-classroom Teaching aug: au: Thomas Sauter Marco Albrecht isbn: 9781800644120 imageinfo: pubinfo: dt: @attributes: year: 2023 month: 01 day: 01 dtAvail: @attributes: year: 2023 month: 05 day: 04 pub: Open Book Publishers pubContract: Thoth Open Metadata place: [Cambridge, UK] price: 0.01 limitsGroup: maxCheckoutDays: 1500 pda: N printPagesOffline: 100 printPagesOnline: 100 previewPages: 10000 prePubGroup: dewey: @attributes: class: 570.113 item: 570 .113 lc: @attributes: class: QH324.2 item: QH 324 .2 artinfo: ui: 3570409 1374256419 formats: fmt: @attributes: type: EB doid: NL$3570409$PDF caption: PDF download: Y tig: atl: Introduction to Systems Biology : Workbook for Flipped-classroom Teaching ptl: Introduction to Systems Biology aug: au: Thomas Sauter Marco Albrecht su: Systems biology--Textbooks sug: subj: COMPUTERS / Data Science / Data Analytics REFERENCE / Research SCIENCE / Research & Methodology SOCIAL SCIENCE / Research SCIENCE / Bioinformatics Systems biology--Textbooks ab: This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics. Their pedagogic approach briefly highlights core ideas of concepts in a broader interdisciplinary framework to guide a more effective deep dive thereafter. The learning journey starts with the purity of mathematical concepts, reveals its power to connect biological entities in structure and time, and finally introduces physics concepts to tightly align abstraction with reality. This workbook is all about self-paced learning, supports the flipped-classroom concept, and kick-starts with scientific evidence on studying. Each chapter comes with links to external YouTube videos, learning checklists, and Integrated real-world examples to gain confidence in thinking across scientific perspectives. The result is an integrated approach that opens a line of communication between theory and application, enabling readers to actively learn as they read. This overview of capturing and analyzing the behavior of biological systems will interest adherers of systems biology and network analysis, as well as related fields such as bioinformatics, biology, cybernetics, and data science. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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