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ROVER variant caller: read-pair overlap considerate variant-calling software applied to PCR-based massively parallel sequencing datasets

Overview of attention for article published in Source Code for Biology and Medicine, January 2014
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About this Attention Score

  • Among the highest-scoring outputs from this source (#37 of 127)
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
2 X users
patent
3 patents

Citations

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12 Dimensions

Readers on

mendeley
18 Mendeley
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Title
ROVER variant caller: read-pair overlap considerate variant-calling software applied to PCR-based massively parallel sequencing datasets
Published in
Source Code for Biology and Medicine, January 2014
DOI 10.1186/1751-0473-9-3
Pubmed ID
Authors

Bernard J Pope, Tú Nguyen-Dumont, Fleur Hammet, Daniel J Park

Abstract

We recently described Hi-Plex, a highly multiplexed PCR-based target-enrichment system for massively parallel sequencing (MPS), which allows the uniform definition of library size so that subsequent paired-end sequencing can achieve complete overlap of read pairs. Variant calling from Hi-Plex-derived datasets can thus rely on the identification of variants appearing in both reads of read-pairs, permitting stringent filtering of sequencing chemistry-induced errors. These principles underly ROVER software (derived from Read Overlap PCR-MPS variant caller), which we have recently used to report the screening for genetic mutations in the breast cancer predisposition gene PALB2. Here, we describe the algorithms underlying ROVER and its usage.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 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 > Ph. D. Student 4 22%
Researcher 4 22%
Student > Postgraduate 2 11%
Student > Bachelor 1 6%
Student > Master 1 6%
Other 3 17%
Unknown 3 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 22%
Computer Science 4 22%
Agricultural and Biological Sciences 4 22%
Medicine and Dentistry 2 11%
Unknown 4 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 July 2023.
All research outputs
#7,678,220
of 25,163,238 outputs
Outputs from Source Code for Biology and Medicine
#37
of 127 outputs
Outputs of similar age
#85,909
of 319,779 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 5 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 70% 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 319,779 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them