↓ Skip to main content

SAAP-RRBS: streamlined analysis and annotation pipeline for reduced representation bisulfite sequencing

Overview of attention for article published in Bioinformatics, June 2012
Altmetric Badge

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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
2 X users
patent
4 patents

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
100 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
SAAP-RRBS: streamlined analysis and annotation pipeline for reduced representation bisulfite sequencing
Published in
Bioinformatics, June 2012
DOI 10.1093/bioinformatics/bts337
Pubmed ID
Authors

Zhifu Sun, Saurabh Baheti, Sumit Middha, Rahul Kanwar, Yuji Zhang, Xing Li, Andreas S. Beutler, Eric Klee, Yan W. Asmann, E. Aubrey Thompson, Jean-Pierre A. Kocher

Abstract

Reduced representation bisulfite sequencing (RRBS) is a cost-effective approach for genome-wide methylation pattern profiling. Analyzing RRBS sequencing data is challenging and specialized alignment/mapping programs are needed. Although such programs have been developed, a comprehensive solution that provides researchers with good quality and analyzable data is still lacking. To address this need, we have developed a Streamlined Analysis and Annotation Pipeline for RRBS data (SAAP-RRBS) that integrates read quality assessment/clean-up, alignment, methylation data extraction, annotation, reporting and visualization. This package facilitates a rapid transition from sequencing reads to a fully annotated CpG methylation report to biological interpretation.

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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
United States 2 2%
India 2 2%
Switzerland 1 1%
Germany 1 1%
Unknown 92 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 27%
Student > Ph. D. Student 24 24%
Student > Master 14 14%
Professor > Associate Professor 6 6%
Student > Bachelor 6 6%
Other 15 15%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 40%
Biochemistry, Genetics and Molecular Biology 20 20%
Computer Science 9 9%
Medicine and Dentistry 5 5%
Neuroscience 4 4%
Other 13 13%
Unknown 9 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 30 August 2023.
All research outputs
#4,836,164
of 25,374,647 outputs
Outputs from Bioinformatics
#4,268
of 12,808 outputs
Outputs of similar age
#31,855
of 180,867 outputs
Outputs of similar age from Bioinformatics
#48
of 161 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,808 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 66% 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 180,867 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 161 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 69% of its contemporaries.