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Computational Epigenomics and Epitranscriptomics

Overview of attention for book
Cover of 'Computational Epigenomics and Epitranscriptomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 DNA Methylation Data Analysis Using Msuite.
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    Chapter 2 Interactive DNA Methylation Array Analysis with ShinyÉPICo
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    Chapter 3 Predicting Chromatin Interactions from DNA Sequence Using DeepC
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    Chapter 4 Integrating Single-Cell Methylome and Transcriptome Data with MAPLE
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    Chapter 5 Quantitative Comparison of Multiple Chromatin Immunoprecipitation-Sequencing (ChIP-seq) Experiments with spikChIP
  7. Altmetric Badge
    Chapter 6 A Guide to MethylationToActivity: A Deep Learning Framework That Reveals Promoter Activity Landscapes from DNA Methylomes in Individual Tumors.
  8. Altmetric Badge
    Chapter 7 DNA Modification Patterns Filtering and Analysis Using DNAModAnnot.
  9. Altmetric Badge
    Chapter 8 Methylome Imputation by Methylation Patterns
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    Chapter 9 Sequoia: A Framework for Visual Analysis of RNA Modifications from Direct RNA Sequencing Data.
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    Chapter 10 Predicting Pseudouridine Sites with Porpoise.
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    Chapter 11 Pseudouridine Identification and Functional Annotation with PIANO.
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    Chapter 12 Analyzing mRNA Epigenetic Sequencing Data with TRESS.
  14. Altmetric Badge
    Chapter 13 Nanopore Direct RNA Sequencing Data Processing and Analysis Using MasterOfPores.
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    Chapter 14 Data Analysis Pipeline for Detection and Quantification of Pseudouridine (ψ) in RNA by HydraPsiSeq.
  16. Altmetric Badge
    Chapter 15 Analysis of RNA Sequences and Modifications Using NASE
  17. Altmetric Badge
    Chapter 16 Mapping of RNA Modifications by Direct Nanopore Sequencing and JACUSA2.
Attention for Chapter 15: Analysis of RNA Sequences and Modifications Using NASE
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  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Chapter title
Analysis of RNA Sequences and Modifications Using NASE
Chapter number 15
Book title
Computational Epigenomics and Epitranscriptomics
Published in
Methods in molecular biology, February 2023
DOI 10.1007/978-1-0716-2962-8_15
Pubmed ID
Book ISBNs
978-1-07-162961-1, 978-1-07-162962-8
Authors

Wein, Samuel, Samuel Wein

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The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 February 2023.
All research outputs
#6,401,205
of 25,391,471 outputs
Outputs from Methods in molecular biology
#1,739
of 14,204 outputs
Outputs of similar age
#116,109
of 473,634 outputs
Outputs of similar age from Methods in molecular biology
#38
of 633 outputs
Altmetric has tracked 25,391,471 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 14,204 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 473,634 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 633 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.