ForestPMPlot specifications

Information


Unique identifier OMICS_27441
Name ForestPMPlot
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python, R
Computer skills Advanced
Version 1.0.3
Stability Stable
Requirements
library(plotrix), numpy
Maintained Yes

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Versioning


No version available

Maintainers


  • person_outline Eleazar Eskin
  • person_outline Buhm Han

Publication for ForestPMPlot

ForestPMPlot citation

library_books

Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer’s disease pathogenesis

2018
Proc Natl Acad Sci U S A
PMCID: 5828602
PMID: 29432188
DOI: 10.1073/pnas.1715554115

[…] or random-effect P value). For transethnic meta-analysis combining both Chinese and non-Asian datasets, Han and Eskin’s Random Effects model () was applied. Analysis results were further subjected to ForestPMPlot () to generate forest plots for data visualization. […]

ForestPMPlot institution(s)
Department of Computer Science, University of California, Los Angeles, CA, USA; Department of Human Genetics, University of California, Los Angeles, CA, USA; Department of Biomedical Informatics, University of Ulsan College of Medicine & Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea; Department of Convergence Medicine, University of Ulsan College of Medicine & Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea; The Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
ForestPMPlot funding source(s)
Supported by National Science Foundation grants 0513612, 0731455, 0729049, 0916676, and 1065276, and National Institutes of Health grants K25-HL080079, U01-DA024417, P01- HL30568, and PO1-HL28481, contract HHSN268201000029C (Broad Institute), a grant 2016-717 from the Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea, and by grant HI14C1731 of the Korean Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea.

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