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Querying, extracting, and processing large-scale network data from Neo4j databases using the 'Neo4j Bolt' <https://neo4j.com/docs/bolt/current/bolt/> protocol. This interface supports efficient data retrieval, batch processing for large datasets, and seamless conversion of query results into R data frames, making it ideal for bioinformatics, computational biology, and other graph-based applications.
Version: | 1.4.0 |
Depends: | R (≥ 4.1.0) |
Imports: | data.table, glue, purrr, reticulate |
Suggests: | knitr, rmarkdown |
Published: | 2025-02-25 |
DOI: | 10.32614/CRAN.package.bolt4jr |
Author: | Wanjun Gu |
Maintainer: | Wanjun Gu <wanjun.gu at ucsf.edu> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | bolt4jr results |
Reference manual: | bolt4jr.pdf |
Vignettes: |
Getting Started with Bolt4jr (source, R code) |
Package source: | bolt4jr_1.4.0.tar.gz |
Windows binaries: | r-devel: bolt4jr_1.4.0.zip, r-release: bolt4jr_1.4.0.zip, r-oldrel: bolt4jr_1.4.0.zip |
macOS binaries: | r-devel (arm64): bolt4jr_1.4.0.tgz, r-release (arm64): bolt4jr_1.4.0.tgz, r-oldrel (arm64): bolt4jr_1.4.0.tgz, r-devel (x86_64): bolt4jr_1.4.0.tgz, r-release (x86_64): bolt4jr_1.4.0.tgz, r-oldrel (x86_64): bolt4jr_1.4.0.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.