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Titlebook: Statistical Genomics; Brooke Fridley,Xuefeng Wang Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to Sp

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發(fā)表于 2025-3-21 18:11:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Statistical Genomics
編輯Brooke Fridley,Xuefeng Wang
視頻videohttp://file.papertrans.cn/877/876422/876422.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: Statistical Genomics;  Brooke Fridley,Xuefeng Wang Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to Sp
描述.This volume provides a collection of protocols from researchers in the statistical genomics field. Chapters focus on integrating genomics with other “omics” data, such as transcriptomics, epigenomics, proteomics, metabolomics, and metagenomics. 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 tips on troubleshooting and avoiding known pitfalls...Cutting-edge and thorough, .Statistical Genomics. hopes that by covering these diverse and timely topics researchers are provided insights into future directions and priorities of pan-omics and the precision medicine era..
出版日期Book 2023
關(guān)鍵詞metagenomics; Microbiome; Spatial Transcriptomics; DNA-seq; Pharmacogenomics
版次1
doihttps://doi.org/10.1007/978-1-0716-2986-4
isbn_softcover978-1-0716-2988-8
isbn_ebook978-1-0716-2986-4Series 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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Profiling Cellular Ecosystems at Single-Cell Resolution and at Scale with EcoTyper,tion of machine learning tools for the large-scale delineation of cellular ecosystems and their constituent cell states from bulk, single-cell, and spatially resolved gene expression data. In this chapter, we provide a primer on EcoTyper and demonstrate its use for the discovery and recovery of cell
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Analysis of Single-Cell RNA-seq Data,ools and workflows for analyzing the data have been developed. In this chapter, we describe a standard workflow and elaborate on relevant data analysis tools for analyzing single-cell RNA sequencing data. We provide recommendations for the appropriate use of commonly used methods, with code examples
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A Primer on Preprocessing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Tranthe spatial distribution of cell types, and their interactions. Furthermore, ST promises to enable the discovery of more accurate drug targets while also providing a better understanding of the etiology and evolution of complex diseases. The analysis of ST brings similar challenges as seen in other
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Statistical Analysis in ChIP-seq-Related Applications, protocol is quite flexible and mature to measure different types of protein binding as long as sequencing parameters are properly tailored to accommodate protein features. Two distinct types of protein binding are point-source-like binding by transcription factors and diffused-distribution binding
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