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Roar: detecting alternative polyadenylation with standard mRNA sequencing libraries

Overview of attention for article published in BMC Bioinformatics, October 2016
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Title
Roar: detecting alternative polyadenylation with standard mRNA sequencing libraries
Published in
BMC Bioinformatics, October 2016
DOI 10.1186/s12859-016-1254-8
Pubmed ID
Authors

Elena Grassi, Elisa Mariella, Antonio Lembo, Ivan Molineris, Paolo Provero

Abstract

Post-transcriptional regulation is a complex mechanism that plays a central role in defining multiple cellular identities starting from a common genome. Modifications in the length of 3'UTRs have been found to play an important role in this context, since alternative 3' UTRs could lead to differences for example in regulation by microRNAs and cellular localization of the transcripts thus altering their fate. We propose a strategy to identify the genes undergoing regulation of 3' UTR length using RNA sequencing data obtained from standard libraries, thus widely applicable to data originally obtained to perform classical differential expression analyses. We decided to exploit previously annotated APA sites from public databases, in contrast with other approaches recently proposed in which the location of the APA site is inferred from the data together with the relative abundance of the isoforms. We demonstrate the reliability of our method by comparing it to the results of other microarray based or specific RNA-seq libraries methods and show that using APA sites databases results in higher sensitivity compared to de novo site prediction approach. We implemented the algorithm in a Bioconductor package to facilitate its broad usage in the scientific community. The ability of this approach to detect shortening from libraries with a number of reads comparable to that needed for differential expression analyses makes it useful for investigating if alternative polyadenylation is relevant in a certain biological process without requiring specific experimental assays.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Brazil 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 30%
Researcher 17 27%
Student > Master 8 13%
Student > Bachelor 5 8%
Student > Postgraduate 3 5%
Other 6 10%
Unknown 5 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 46%
Agricultural and Biological Sciences 21 33%
Computer Science 3 5%
Environmental Science 1 2%
Business, Management and Accounting 1 2%
Other 3 5%
Unknown 5 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 November 2016.
All research outputs
#13,992,567
of 22,893,031 outputs
Outputs from BMC Bioinformatics
#4,488
of 7,299 outputs
Outputs of similar age
#174,347
of 316,298 outputs
Outputs of similar age from BMC Bioinformatics
#59
of 118 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,299 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 316,298 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.