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Manananggal - a novel viewer for alternative splicing events

Overview of attention for article published in BMC Bioinformatics, February 2017
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Title
Manananggal - a novel viewer for alternative splicing events
Published in
BMC Bioinformatics, February 2017
DOI 10.1186/s12859-017-1548-5
Pubmed ID
Authors

Matthias Barann, Ralf Zimmer, Fabian Birzele

Abstract

Alternative splicing is an important cellular mechanism that can be analyzed by RNA sequencing. However, identification of splicing events in an automated fashion is error-prone. Thus, further validation is required to select reliable instances of alternative splicing events (ASEs). There are only few tools specifically designed for interactive inspection of ASEs and available visualization approaches can be significantly improved. Here, we present Manananggal, an application specifically designed for the identification of splicing events in next generation sequencing data. Manananggal includes a web application for visual inspection and a command line tool that allows for ASE detection. We compare the sashimi plots available in the IGV Viewer, the DEXSeq splicing plots and SpliceSeq to the Manananggal interface and discuss the advantages and drawbacks of these tools. We show that sashimi plots (such as those used by the IGV Viewer and SpliceSeq) offer a practical solution for simple ASEs, but also indicate short-comings for highly complex genes. Manananggal is an interactive web application that offers functions specifically tailored to the identification of alternative splicing events that other tools are lacking. The ability to select a subset of isoforms allows an easier interpretation of complex alternative splicing events. In contrast to SpliceSeq and the DEXSeq splicing plot, Manananggal does not obscure the gene structure by showing full transcript models that makes it easier to determine which isoforms are expressed and which are not.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Germany 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 31%
Student > Master 8 19%
Student > Ph. D. Student 7 17%
Student > Bachelor 3 7%
Student > Doctoral Student 3 7%
Other 6 14%
Unknown 2 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 40%
Agricultural and Biological Sciences 9 21%
Computer Science 6 14%
Engineering 3 7%
Physics and Astronomy 1 2%
Other 2 5%
Unknown 4 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 July 2018.
All research outputs
#13,566,023
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#3,850
of 7,454 outputs
Outputs of similar age
#155,072
of 312,688 outputs
Outputs of similar age from BMC Bioinformatics
#59
of 138 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 45th percentile – i.e., 45% 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 312,688 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.