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Titlebook: Reverse Engineering of Regulatory Networks; Sudip Mandal Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive licens

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發(fā)表于 2025-3-21 19:10:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Reverse Engineering of Regulatory Networks
編輯Sudip Mandal
視頻videohttp://file.papertrans.cn/830/829387/829387.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
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Reverse Engineering of Regulatory Networks;  Sudip Mandal Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive licens
描述.This volume details the development of updated dry lab and wet lab based methods for the reconstruction of Gene regulatory networks (GRN). Chapters guide readers through culprit genes, .in-silico. drug discovery techniques, genome-wide ChIP-X data, high-Throughput Transcriptomic Data Exome Sequencing, Next-Generation Sequencing, Fuorescence Spectroscopy, data analysis in Bioinformatics, Computational Biology, and? S-system based modeling of GRN. Written in the highly successful?.Methods in Molecular Biology.?series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls...Authoritative and cutting-edge,?.Reverse Engineering of Regulatory Networks .aims to be a?useful and practical guide to new researchers and experts looking to expand their knowledge.?.
出版日期Book 2024
關(guān)鍵詞gene regulatory networks (GRN); modified metaheuristic; Bioinformatics; Computational Biology; Metabolic
版次1
doihttps://doi.org/10.1007/978-1-0716-3461-5
isbn_softcover978-1-0716-3463-9
isbn_ebook978-1-0716-3461-5Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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Sudip MandalIncludes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
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https://doi.org/10.1007/978-1-0716-3461-5gene regulatory networks (GRN); modified metaheuristic; Bioinformatics; Computational Biology; Metabolic
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Prakash Kumar,Ranjit Kumar Paul,Himadri Shekhar Roy,Md. Yeasin,Ajit,Amrit Kumar Paul
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Systems Biology Approach to Analyze Microarray Datasets for Identification of Disease-Causing Genese potential to reveal previously unidentified causes and consequences of human illness. Genetic, environmental, immunological, or neurological factors have been implicated in the developing complex disorders like cancer. Because of this, it is important to approach the study of such disease from a n
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