BS-SNPer statistics

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Citations per year

Number of citations per year for the bioinformatics software tool BS-SNPer

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BS-SNPer specifications


Unique identifier OMICS_09802
Name BS-SNPer
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data Sequence data
Input format BAM, SAM
Operating system Unix/Linux, Mac OS
Programming languages C++, Perl
Computer skills Advanced
Stability Stable
GCC, zlib
Maintained Yes


No version available



  • person_outline Shengjie Gao

Publication for BS-SNPer

BS-SNPer citations


BAT: Bisulfite Analysis Toolkit

PMCID: 5590080
PMID: 28979767
DOI: 10.5256/f1000research.13317.r25076

[…] s. The modularity of BAT, as well as its input and output formats, allow to easily extend or customize the default workflows. For instance, it is possible to easily integrate tools such as BisSNP or BS-Snper or DMR calling tools.The custom visualizations of the methylation data facilitate data mining and allow to inspect the data quality at each step of the analysis. This is necessary to increas […]


Maximizing ecological and evolutionary insight in bisulfite sequencing data sets

PMCID: 5656403
PMID: 29046582
DOI: 10.1038/s41559-017-0229-0

[…] oportions or ratios, thus preserving information about sequencing depth for each site-sample combination. Additionally, recent tools for calling SNP genotypes directly from BS reads (e.g., BisSNP and BS-SNPer) can help with constructing kinship/relatedness matrices, although not without error (). […]

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BS-SNPer institution(s)
Department of Biomedicine, Aarhus University, Aarhus, Denmark; BGI Co. Ltd., Shenzhen, China; School of Computer, National University of Defense Technology, Changsha, China; Departments of Biostatistics and Informatics, University of Colorado-Anschutz Medical campus; The fourth people's hospital of Shenzhen (Futian hospital), Shenzhen, China; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark; Genomic Biology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia; Department of Obsterics and Gynecology,the First Hospital Affiliated to Suzhou University,Jiangsu Suzhou, China; College of Information Engineering, Qingdao University, Qingdao, China; BioInformatics Research Center (BIRC), Aarhus University, Aarhus, Denmark
BS-SNPer funding source(s)
This work was supported by The Danish Strategic Research Council (Innovation Fund Denmark).

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