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For researchers to quickly and comprehensively acquire disease genes, so as to understand the mechanism of disease, we developed this program to acquire disease-related genes. The data is integrated from three public databases. The three databases are 'eDGAR', 'DrugBank' and 'MalaCards'. The 'eDGAR' is a comprehensive database, containing data on the relationship between disease and genes. 'DrugBank' contains information on 13443 drugs and 5157 targets. 'MalaCards' integrates human disease information, including disease-related genes.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Published: | 2020-04-24 |
| DOI: | 10.32614/CRAN.package.Autoseed |
| Author: | Jiawei Wu [aut, cre], Xu Li [aut] |
| Maintainer: | Jiawei Wu <jared_wood at 163.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | Autoseed results |
| Reference manual: | Autoseed.pdf |
| Package source: | Autoseed_0.1.0.tar.gz |
| Windows binaries: | r-devel: Autoseed_0.1.0.zip, r-release: Autoseed_0.1.0.zip, r-oldrel: Autoseed_0.1.0.zip |
| macOS binaries: | r-release (arm64): Autoseed_0.1.0.tgz, r-oldrel (arm64): Autoseed_0.1.0.tgz, r-release (x86_64): Autoseed_0.1.0.tgz, r-oldrel (x86_64): Autoseed_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=Autoseed to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.