The increase in bioinformatics resources such as tools/scripts and databases poses a great challenge for users seeking to construct interactive and reproducible biological data analysis applications.
R language, as the most popular programming language for statistics, biological data analysis, and big data, has enabled diverse and free R packages (>14000) for different types of applications. However, due to the lack of high-performance and open-source cloud platforms based on R (e.g., Galaxy for Python users), it is still difficult for R users, especially those without web development skills, to construct interactive and reproducible biological data analysis applications supporting the upload and management of files, long-time computation, task submission, tracking of output files, exception handling, logging, export of plots and tables, and extendible plugin systems.
The collection, management, and share of various bioinformatics tools/scripts and databases are also essential for almost all bioinformatics analysis projects.
Here, we established a new platform to construct interactive and reproducible biological data analysis applications based on R language. This platform contains diverse user interfaces, including the R functions and R Shiny application, REST APIs, and support for collecting, managing, sharing, and utilizing massive bioinformatics tools/scripts and databases.
Feature:
Field
Note: We are developing bget and bioshiny projects independently for simplify the functions of download and shiny.
#You can install this package directly from CRAN by running (from within R):
install.packages('BioInstaller')
# install.packages("devtools")
devtools::install_github("JhuangLab/BioInstaller")
Note, the Shiny application of BioInstaller was migrated to bioshiny project. All shiny files in this package have been removed for reducing package size.
In the new project, we are developing more free plugins of bioshiny for various bioinformatics data analysis.
echo 'export BIO_SOFTWARES_DB_ACTIVE="~/.bioshiny/info.yaml" >> ~/.bashrc' echo 'export BIOSHINY_CONFIG="~/.bioshiny/shiny.config.yaml" >> ~/.bashrc' . ~/.bashrc # Start the standalone Shiny application wget https://raw.githubusercontent.com/openbiox/bioshiny/master/bin/bioshiny_deps_r wget https://raw.githubusercontent.com/openbiox/bioshiny/master/bin/bioshiny_start chmod a+x bioshiny_deps_r chmod a+x bioshiny_start ./bioshiny_deps_r # Start Shiny application workers Rscript -e "bioshiny::set_shiny_workers(1)" ./bioshiny_start # or use yarn yarn global add bioshiny bioshiny_deps_r Rscript -e "bioshiny::set_shiny_workers(1)" bioshiny_start
spack and miniconda are required for extra functions.
Quality Control:
Alignment and Assembly:
Variant Detection:
Variant Annotation:
Utils:
Genome:
Others:
Databases:
You can use the BioInstaller in Docker since v0.3.0. Shiny application was supported since v0.3.5.
docker pull bioinstaller/bioinstaller docker run -it -p 80:80 -p 8004:8004 -v /tmp/download:/tmp/download bioinstaller/bioinstaller
Service list:
Please fork the GitHub BioInstaller repository, modify it, and submit a pull request to us. Especialy, the files list in contributed section should be modified when you see a tool or database that not be included in the other software warehouse.
R package:
Related Other Resources
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4