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Titlebook: Computational Epigenomics and Epitranscriptomics; Pedro H. Oliveira Book 2023 The Editor(s) (if applicable) and The Author(s), under exclu

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發(fā)表于 2025-3-21 20:00:41 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Epigenomics and Epitranscriptomics
編輯Pedro H. Oliveira
視頻videohttp://file.papertrans.cn/233/232278/232278.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: Computational Epigenomics and Epitranscriptomics;  Pedro H. Oliveira Book 2023 The Editor(s) (if applicable) and The Author(s), under exclu
描述.This volume details state-of-the-art computational methods designed to manage, analyze, and generally leverage epigenomic and epitranscriptomic data. Chapters guide readers through fine-mapping and quantification of modifications, visual analytics, imputation methods, supervised analysis, and integrative approaches for single-cell data. 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, .Computational Epigenomics and Epitranscriptomics .aims to provide an overview of epiomic protocols, making it easier for researchers to extract impactful biological insight from their data. .
出版日期Book 2023
關(guān)鍵詞DNA Methylation; RnBeads; wg-blimp; ? Epiclomal; ANnoTation
版次1
doihttps://doi.org/10.1007/978-1-0716-2962-8
isbn_softcover978-1-0716-2964-2
isbn_ebook978-1-0716-2962-8Series 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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Integrating Single-Cell Methylome and Transcriptome Data with MAPLE,introduced bisulfite-sequencing-based methods, it is possible to profile the entire methylome at single-cell resolution. However, analysis of single-cell methylome data is challenging due to data sparsity and moderate correlation with transcript level. Our recently developed computational framework,
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Quantitative Comparison of Multiple Chromatin Immunoprecipitation-Sequencing (ChIP-seq) Experimentsmic distribution of chromatin-associated proteins, histone posttranslational modifications, and histone variants. However, in the absence of a reference control for monitoring experimental and biological variations, the standard ChIP-seq scheme is unable to accurately assess changes in the abundance
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DNA Modification Patterns Filtering and Analysis Using DNAModAnnot,ng data can be used to identify modified base patterns. However, the downstream analysis of Pacific Biosciences (PacBio) or Oxford Nanopore Technologies (ONT) data requires the integration of genomic annotation and comprehensive filtering to prevent the accumulation of artifact signals. We present i
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Predicting Pseudouridine Sites with Porpoise,fy pseudouridine sites using expensive and time-consuming experimental research. To this end, we present Porpoise, a computational approach to identify pseudouridine sites from RNA sequence data. Porpoise builds on a stacking ensemble learning framework with several informative features and achieves
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