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A tool for analyzing and visualizing ribo-seq data at the isoform level

Overview of attention for article published in BMC Bioinformatics, May 2021
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Title
A tool for analyzing and visualizing ribo-seq data at the isoform level
Published in
BMC Bioinformatics, May 2021
DOI 10.1186/s12859-021-04192-7
Pubmed ID
Authors

Wei-Sheng Wu, Yi-Hong Tsao, Sheng-Cian Shiue, Ting-Yu Chen, Yan-Yuan Tseng, Joseph T. Tseng

Abstract

Translational regulation is one important aspect of gene expression regulation. Dysregulation of translation results in abnormal cell physiology and leads to diseases. Ribosome profiling (RP), also called ribo-seq, is a powerful experimental technique to study translational regulation. It can capture a snapshot of translation by deep sequencing of ribosome-protected mRNA fragments. Many ribosome profiling data processing tools have been developed. However, almost all tools analyze ribosome profiling data at the gene level. Since different isoforms of a gene may produce different proteins with distinct biological functions, it is advantageous to analyze ribosome profiling data at the isoform level. To meet this need, previously we developed a pipeline to analyze 610 public human ribosome profiling data at the isoform level and constructed HRPDviewer database. To allow other researchers to use our pipeline as well, here we implement our pipeline as an easy-to-use software tool called RPiso. Compared to Ribomap (a widely used tool which provides isoform-level ribosome profiling analyses), our RPiso (1) estimates isoform abundance more accurately, (2) supports analyses on more species, and (3) provides a web-based viewer for interactively visualizing ribosome profiling data on the selected mRNA isoforms. In this study, we developed RPiso software tool ( http://cosbi7.ee.ncku.edu.tw/RPiso/ ) to provide isoform-level ribosome profiling analyses. RPiso is very easy to install and execute. RPiso also provides a web-based viewer for interactively visualizing ribosome profiling data on the selected mRNA isoforms. We believe that RPiso is a useful tool for researchers to analyze and visualize their own ribosome profiling data at the isoform level.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 22%
Unspecified 2 11%
Student > Doctoral Student 2 11%
Student > Postgraduate 2 11%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 6 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 22%
Agricultural and Biological Sciences 3 17%
Unspecified 2 11%
Computer Science 1 6%
Nursing and Health Professions 1 6%
Other 0 0%
Unknown 7 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 June 2021.
All research outputs
#18,807,229
of 23,308,124 outputs
Outputs from BMC Bioinformatics
#6,417
of 7,382 outputs
Outputs of similar age
#323,639
of 448,134 outputs
Outputs of similar age from BMC Bioinformatics
#181
of 183 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.