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RNA Bioinformatics

Overview of attention for book
Cover of 'RNA Bioinformatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Free Energy Minimization to Predict RNA Secondary Structures and Computational RNA Design
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    Chapter 2 RNA Secondary Structure Prediction from Multi-Aligned Sequences
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    Chapter 3 A Simple Protocol for the Inference of RNA Global Pairwise Alignments
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    Chapter 4 De Novo Secondary Structure Motif Discovery Using RNAProfile
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    Chapter 5 Drawing and Editing the Secondary Structure(s) of RNA
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    Chapter 6 Modeling and Predicting RNA Three-Dimensional Structures
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    Chapter 7 Fast Prediction of RNA–RNA Interaction Using Heuristic Algorithm
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    Chapter 8 Quality Control of RNA-Seq Experiments.
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    Chapter 9 Accurate Mapping of RNA-Seq Data.
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    Chapter 10 Quantifying Entire Transcriptomes by Aligned RNA-Seq Data
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    Chapter 11 Transcriptome Assembly and Alternative Splicing Analysis
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    Chapter 12 Detection of post-transcriptional RNA editing events.
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    Chapter 13 Prediction of miRNA Targets
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    Chapter 14 Using Deep Sequencing Data for Identification of Editing Sites in Mature miRNAs
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    Chapter 15 NGS-Trex: An Automatic Analysis Workflow for RNA-Seq Data
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    Chapter 16 e-DNA Meta-Barcoding: From NGS Raw Data to Taxonomic Profiling.
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    Chapter 17 Deciphering metatranscriptomic data.
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    Chapter 18 RIP-Seq Data Analysis to Determine RNA–Protein Associations
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    Chapter 19 The ViennaRNA Web Services.
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    Chapter 20 Exploring the RNA Editing Potential of RNA-Seq Data by ExpEdit
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    Chapter 21 A Guideline for the Annotation of UTR Regulatory Elements in the UTRsite Collection
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    Chapter 22 Rfam: Annotating Families of Non-Coding RNA Sequences
  24. Altmetric Badge
    Chapter 23 ASPicDB: A Database Web Tool for Alternative Splicing Analysis
  25. Altmetric Badge
    Chapter 24 Analysis of Alternative Splicing Events in Custom Gene Datasets by AStalavista.
  26. Altmetric Badge
    Chapter 25 Computational Design of Artificial RNA Molecules for Gene Regulation
Attention for Chapter 25: Computational Design of Artificial RNA Molecules for Gene Regulation
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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2 patents
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4 Wikipedia pages

Citations

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Chapter title
Computational Design of Artificial RNA Molecules for Gene Regulation
Chapter number 25
Book title
RNA Bioinformatics
Published in
Methods in molecular biology, December 2014
DOI 10.1007/978-1-4939-2291-8_25
Pubmed ID
Book ISBNs
978-1-4939-2290-1, 978-1-4939-2291-8
Authors

Alessandro Laganà, Dario Veneziano, Francesco Russo, Alfredo Pulvirenti, Rosalba Giugno, Carlo Maria Croce, Alfredo Ferro, Laganà A, Veneziano D, Russo F, Pulvirenti A, Giugno R, Croce CM, Ferro A, Laganà, Alessandro, Veneziano, Dario, Russo, Francesco, Pulvirenti, Alfredo, Giugno, Rosalba, Croce, Carlo Maria, Ferro, Alfredo

Editors

Ernesto Picardi

Abstract

RNA interference (RNAi) is a powerful tool for the regulation of gene expression. Small exogenous noncoding RNAs (ncRNAs) such as siRNA and shRNA are the active silencing agents, intended to target and cleave complementary mRNAs in a specific way. They are widely and successfully employed in functional studies, and several ongoing and already completed siRNA-based clinical trials suggest encouraging results in the regulation of overexpressed genes in disease.siRNAs share many aspects of their biogenesis and function with miRNAs, small ncRNA molecules transcribed from endogenous genes which are able to repress the expression of target mRNAs by either inhibiting their translation or promoting their degradation. Although siRNA and artificial miRNA molecules can significantly reduce the expression of overexpressed target genes, cancer and other diseases can also be triggered or sustained by upregulated miRNAs.Thus, in the past recent years, molecular tools for miRNA silencing, such as antagomiRs and miRNA sponges, have been developed. These molecules have shown their efficacy in the derepression of genes downregulated by overexpressed miRNAs. In particular, while a single antagomiR is able to inhibit a single complementary miRNA, an artificial sponge construct usually contains one or more binding sites for one or more miRNAs and functions by competing with the natural targets of these miRNAs. As a consequence, natural miRNA targets are reexpressed at their physiological level.In this chapter we review the most successful methods for the computational design of siRNAs, antagomiRs, and miRNA sponges and describe the most popular tools that implement them.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 22%
Student > Ph. D. Student 13 14%
Researcher 13 14%
Student > Master 8 9%
Professor > Associate Professor 3 3%
Other 10 11%
Unknown 26 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 26%
Agricultural and Biological Sciences 10 11%
Medicine and Dentistry 5 5%
Chemistry 5 5%
Computer Science 3 3%
Other 13 14%
Unknown 33 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 18 April 2024.
All research outputs
#2,355,185
of 26,017,215 outputs
Outputs from Methods in molecular biology
#355
of 14,458 outputs
Outputs of similar age
#31,142
of 366,316 outputs
Outputs of similar age from Methods in molecular biology
#27
of 998 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,458 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 366,316 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 998 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 97% of its contemporaries.