bnbc statistics

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Citations per year

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Popular tool citations

chevron_left Batch effect correction Contact matrix normalization chevron_right
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Tool usage distribution map

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Associated diseases

Associated diseases

bnbc specifications

Information


Unique identifier OMICS_23761
Name bnbc
Alternative name bandwise normalization and batch correction
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License Artistic License version 2.0
Computer skills Advanced
Version 1.2.0
Stability Stable
Requirements
methods, parallel, BiocGenerics, IRanges, GenomicRanges, utils, S4Vectors, GenomeInfoDb, BiocStyle, SummarizedExperiment, RUnit, rmarkdown, knitr, preprocessCore, EBImage, matrixStats, R(>=3.4.0), sva, Rcpp(>=0.12.12)
Maintained Yes

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Documentation


Maintainers


  • person_outline Kasper Daniel Hansen <>
  • person_outline Kipper Fletez-Brant <>

Publication for bandwise normalization and batch correction

bnbc institution(s)
McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, CA, USA; Ludwig Institute for Cancer Research, New York, NY, USA; Department of Cellular and Molecular Medicine, University of California, San Diego, CA, USA; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
bnbc funding source(s)
Supported by National Institute of Diabetes and Digestive and Kidney Diseases and the National Cancer Institute of the National Institutes of Health under award numbers 54DK107977 and U24CA180996, the Maryland Genetics, Epidemiology and Medicine (MD-GEM) program, the A.P. Giannini Foundation and the San Diego Institutional Research and Academic Career Development Award (IRACDA) program.

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