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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 |
| 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 |
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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.
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