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020 _a9781071629628
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024 7 _a10.1007/978-1-0716-2962-8
_2doi
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082 0 4 _a572.865
_223
245 1 0 _aComputational Epigenomics and Epitranscriptomics
_h[electronic resource] /
_cedited by Pedro H. Oliveira.
250 _a1st ed. 2023.
264 1 _aNew York, NY :
_bSpringer US :
_bImprint: Humana,
_c2023.
300 _aXI, 262 p. 65 illus., 61 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
341 0 _bTable of contents navigation
_2onix
341 0 _bSingle logical reading order
_2onix
341 0 _bShort alternative textual descriptions
_2onix
341 0 _bUse of color is not sole means of conveying information
_2onix
341 0 _bUse of high contrast between text and background color
_2onix
341 0 _bNext / Previous structural navigation
_2onix
341 0 _bAll non-decorative content supports reading without sight
_2onix
347 _atext file
_bPDF
_2rda
490 1 _aMethods in Molecular Biology,
_x1940-6029 ;
_v2624
505 0 _aDNA methylation data analysis using Msuite -- Interactive DNA methylation arrays analysis with ShinyÉPICo -- Predicting Chromatin Interactions from DNA Sequence using DeepC -- Integrating single-cell methylome and transcriptome data with MAPLE -- Quantitative comparison of multiple chromatin immunoprecipitation-sequencing (ChIP-seq) experiments with spikChIP -- A Guide To MethylationToActivity: A Deep-Learning Framework That Reveals Promoter Activity Landscapes from DNA Methylomes In Individual Tumors -- DNA modification patterns filtering and analysis using DNAModAnnot -- Methylome imputation by methylation patterns -- Sequoia: a framework for visual analysis of RNA modifications from direct RNA sequencing data -- Predicting pseudouridine sites with Porpoise -- Pseudouridine Identification and Functional Annotation with PIANO -- Analyzing mRNA epigenetic sequencing data with TRESS -- Nanopore Direct RNA Sequencing Data Processing and Analysis Using MasterOfPores -- Data Analysis Pipeline for Detection and Quantification of Pseudouridine (ψ) in RNA by HydraPsiSeq -- Analysis of RNA sequences and modifications using NASE -- Mapping of RNA modifications by direct Nanopore sequencing and JACUSA2.
520 _aThis 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.
532 8 _aAccessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
532 8 _aNo reading system accessibility options actively disabled
532 8 _aPublisher contact for further accessibility information: accessibilitysupport@springernature.com
650 0 _aEpigenetics.
650 0 _aBiomathematics.
650 1 4 _aEpigenetics.
650 2 4 _aMathematical and Computational Biology.
700 1 _aOliveira, Pedro H.
_eeditor.
_0(orcid)0000-0003-3161-8367
_1https://orcid.org/0000-0003-3161-8367
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781071629611
776 0 8 _iPrinted edition:
_z9781071629635
776 0 8 _iPrinted edition:
_z9781071629642
830 0 _aMethods in Molecular Biology,
_x1940-6029 ;
_v2624
856 4 0 _uhttps://doi.org/10.1007/978-1-0716-2962-8
912 _aZDB-2-PRO
999 _c5162
_d5162