Package: Autoseed 0.1.0

Autoseed: Retrieve Disease-Related Genes from Public Sources

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.

Authors:Jiawei Wu [aut, cre], Xu Li [aut]

Autoseed_0.1.0.tar.gz
Autoseed_0.1.0.zip(r-4.7-any)Autoseed_0.1.0.zip(r-4.6-any)Autoseed_0.1.0.zip(r-4.5-any)
Autoseed_0.1.0.tgz(r-4.6-any)Autoseed_0.1.0.tgz(r-4.5-any)
Autoseed_0.1.0.tar.gz(r-4.7-any)Autoseed_0.1.0.tar.gz(r-4.6-any)
Autoseed_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Autoseed/json (API)

# Install 'Autoseed' in R:
install.packages('Autoseed', repos = c('https://jaredrecords.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • drugbank - Relationship between gene and disease
  • edgar - Relationship between the gene and disease in edgar
  • mala - The relationship between gene and disease

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 3 scripts 297 downloads 3 mentions 4 exports 0 dependencies

Last updated from:7b349aa176. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK86
source / vignettesOK142
linux-releaseOK80
macos-releaseOK160
macos-oldrelOK202
windows-develOK60
windows-releaseOK48
windows-oldrelOK99
wasm-releaseOK64

Exports:AutoSeeddrugbank_disease_geneedgar_disease_genemalacards_disease_gene

Dependencies: