| 书目名称 | Computational Systems Biology | | 编辑 | Reneé Ireton,Kristina Montgomery,Jason McDermott | | 视频video | | | 概述 | Presents a broad range of topics related to computational systems biology, including mechanistic modeling, high-throughput data analysis, biological network analysis and data representation and manage | | 丛书名称 | Methods in Molecular Biology | | 图书封面 |  | | 描述 | Computational systems biology is the term that we use to describe computational methods to identify, infer, model, and store relationships between the molecules, pathways, and cells (‘‘systems’’) involved in a living organism. Based on this definition, the field of computational systems biology has been in existence for some time. However, the recent confluence of high-throughput methodology for biological data gathering,genome-scalesequencing,andcomputationalprocessingpowerhasdrivena reinvention and expansion of this field. The expansions include not only modeling of small metabolic (1–3) and signaling systems (2, 4) but also modeling of the relati- ships between biological components in very large systems, including whole cells and organisms (5–15). Generally, these models provide a general overview of one or more aspects of these systems and leave the determination of details to experimentalists focused on smaller subsystems. The promise of such approaches is that they will elucidate patterns, relationships, and general features, which are not evident from examining specific components or subsystems. These predictions are either interesting in and of themselves (e. g. , the iden | | 出版日期 | Book 2009 | | 关键词 | Analysis; algorithms; bioinformatics; evolution; genes; genome; modeling; molecular biology; Systems Biology | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-59745-243-4 | | isbn_softcover | 978-1-4939-5644-9 | | isbn_ebook | 978-1-59745-243-4Series ISSN 1064-3745 Series E-ISSN 1940-6029 | | issn_series | 1064-3745 | | copyright | Humana Press 2009 |
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发表于 2025-3-21 19:16:00
