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BioInstaller <img src="https://raw.githubusercontent.com/JhuangLab/BioInstaller/master/man/figures/logo.png" align="right" />

Introduction

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:

Easy-to-use
User-friendly Shiny application
Integrative platform of Databases and bioinformatics resources
Open source and completely free
One-click to download and install bioinformatics resources (via R, Shiny or Opencpu REST APIs)
More attention for those software and database resource that have not been by other tools
Logging
System monitor
Task submitting system
Parallel tasks

Field

Quality Control
Alignment And Assembly
Alternative Splicing
ChIP-seq analysis
Gene Expression Data Analysis
Variant Detection
Variant Annotation
Virus Related
Statistical and Visualization
Noncoding RNA Related Database
Cancer Genomics Database
Regulator Related Database
eQTL Related Database
Clinical Annotation
Drugs Database
Proteomic Database
Software Dependence Database
......

Note: We are developing bget and bioshiny projects independently for simplify the functions of download and shiny.

bget is an golang-based command-line tool that do not need to install any R packages.
bioshiny is the core shiny application of previous BioInstaller package.

Installation

CRAN

#You can install this package directly from CRAN by running (from within R):
install.packages('BioInstaller')

Github

# install.packages("devtools")
devtools::install_github("JhuangLab/BioInstaller")

Shiny application

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.

Contributed Resources

Support Summary

Quality Control:

FastQC, PRINSEQ, SolexaQA, FASTX-Toolkit ...

Alignment and Assembly:

BWA, STAR, TMAP, Bowtie, Bowtie2, tophat2, hisat2, GMAP-GSNAP, ABySS, SSAHA2, Velvet, Edean, Trinity, oases, RUM, MapSplice2, NovoAlign ...

Variant Detection:

GATK, Mutect, VarScan2, FreeBayes, LoFreq, TVC, SomaticSniper, Pindel, Delly, BreakDancer, FusionCatcher, Genome STRiP, CNVnator, CNVkit, SpeedSeq ...

Variant Annotation:

ANNOVAR, SnpEff, VEP, oncotator ...

Utils:

htslib, samtools, bcftools, bedtools, bamtools, vcftools, sratools, picard, HTSeq, seqtk, UCSC Utils(blat, liftOver), bamUtil, jvarkit, bcl2fastq2, fastq_tools ...

Genome:

hisat2_reffa, ucsc_reffa, ensemble_reffa ...

Others:

sparsehash, SQLite, pigz, lzo, lzop, bzip2, zlib, armadillo, pxz, ROOT, curl, xz, pcre, R, gatk_bundle, ImageJ, igraph ...

Databases:

ANNOVAR, blast, CSCD, GATK_Bundle, biosystems, civic, denovo_db, dgidb, diseaseenhancer, drugbank, ecodrug, expression_atlas, funcoup, gtex, hpo, inbiomap, interpro, medreaders, mndr, msdd, omim, pancanqtl, proteinatlas, remap2, rsnp3, seecancer, srnanalyzer, superdrug2, tumorfusions, varcards ...

Docker

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:

localhost/ocpu/ Opencpu service
localhost/shiny/BioInstaller Shiny service
localhost/rstudio/ Rstudio server (opencpu/opencpu)

Citation

Li J, Cui B, Dai Y, et al. BioInstaller: a comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform[J]. PeerJ, 2018, 6:e5853.

How to contribute?

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.

Maintainer

Jianfeng Li

License

R package:

MIT

Related Other Resources

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License