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Titlebook: Computational Systems Biology in Medicine and Biotechnology; Methods and Protocol Sonia Cortassa,Miguel A. Aon Book 2022 This is a U.S. gov

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发表于 2025-3-21 18:02:00 | 显示全部楼层 |阅读模式
书目名称Computational Systems Biology in Medicine and Biotechnology
副标题Methods and Protocol
编辑Sonia Cortassa,Miguel A. Aon
视频videohttp://file.papertrans.cn/234/233167/233167.mp4
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
丛书名称Methods in Molecular Biology
图书封面Titlebook: Computational Systems Biology in Medicine and Biotechnology; Methods and Protocol Sonia Cortassa,Miguel A. Aon Book 2022 This is a U.S. gov
描述.This volume addresses the latest state-of-the-art systems biology-oriented approaches that--driven by big data and bioinformatics--are utilized by Computational Systems Biology, an interdisciplinary field that bridges experimental tools with computational tools to tackle complex questions at the frontiers of knowledge in medicine and biotechnology. The chapters in this book are organized into six parts: systems biology of the genome, epigenome, and redox proteome; metabolic networks; aging and longevity; systems biology of diseases; spatiotemporal patterns of rhythms, morphogenesis, and complex dynamics; and genome scale metabolic modeling in biotechnology. In every chapter, readers will find varied methodological approaches applied at different levels, from molecular, cellular, organ to organisms, genome to phenome, and health and disease. Written in the highly successful .Methods in Molecular Biology. series format, chapters include introductions to their respective topics; criteria utilized for applying specific methodologies; lists of the necessary materials, reagents, software, databases, algorithms, mathematical models, and dedicated analytical procedures; step-by-step, read
出版日期Book 2022
关键词circadian metabolism; Synthetic Biology; Artificial Intelligence; Machine Learning; protein-protein inte
版次1
doihttps://doi.org/10.1007/978-1-0716-1831-8
isbn_softcover978-1-0716-1833-2
isbn_ebook978-1-0716-1831-8Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightThis is a U.S. government work and not under copyright protection in the U.S.; foreign copyright pro
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发表于 2025-3-21 23:32:59 | 显示全部楼层
Single-Cell Analysis of the Transcriptome and Epigenomeons and resultant gene expression changes in single cells provides unprecedented resolution and insight into cellular diversity, modes of gene regulation, transcription factor dynamics and 3D genome organization. In this chapter, we summarize the transformative single-cell epigenomic technologies th
Adrenal-Glands
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发表于 2025-3-22 02:01:05 | 显示全部楼层
Automating Assignment, Quantitation, and Biological Annotation of Redox Proteomics Datasets with Proger and identify more redox regulated sites in proteins, they provide a systems-wide characterization of redox regulation across cellular organelles and regulatory networks. However, these large proteomic datasets require substantial data processing and analysis in order to fully interpret and compr
执拗
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踉跄
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发表于 2025-3-22 12:08:57 | 显示全部楼层
MITODYN: An Open Source Software for Quantitative Modeling of Mitochondrial and Cellular Energy Meta sides of the inner mitochondrial membrane, that ATP synthase uses to generate ATP. This process constitutes a bridge between carbohydrates’ central metabolism and ATP-consuming cellular functions. Moreover, the RC is responsible for a large part of reactive oxygen species (ROS) generation that play
Synchronism
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隼鹰
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隼鹰
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发表于 2025-3-23 00:55:39 | 显示全部楼层
Unraveling Pathways of Health and Lifespan with Integrated Multiomics Approachesal strategy where the confounding effects of diet and feeding regimens can be dissected. In this chapter, we use integrated analysis of multiomics (transcriptomics–metabolomics) data in liver from mice to gain insight into pathways associated with improved health and survival. We identify a unique m
Infiltrate
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推测
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Multiscale Modeling of the Mitochondrial Origin of Cardiac Reentrant and Fibrillatory Arrhythmiasscalates to influence the rhythm of the heart remains incompletely understood. This is due, in part, to the complexity of the interactions formed by cardiac electrical, mechanical, and metabolic subsystems at various spatiotemporal scales that is difficult to fully comprehend solely with experiments
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