Bioconductor
E426691
Bioconductor is an open-source project that provides R packages and tools for the analysis and comprehension of high-throughput genomic and biological data.
All labels observed (12)
How this entity was disambiguated
This entity first appeared as the object of triple T4277849 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bioconductor Context triple: [CRAN, relatedTo, Bioconductor]
-
A.
CRAN
CRAN is the Comprehensive R Archive Network, a primary repository for R packages, source code, and documentation used by the R programming community.
-
B.
RStudio
RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
-
C.
ICMBio
ICMBio is Brazil’s federal agency responsible for managing and protecting the country’s conservation units and biodiversity.
-
D.
Department of Computational Biology and Medical Sciences
The Department of Computational Biology and Medical Sciences is an academic unit specializing in the integration of computational methods with biological and medical research to advance understanding of complex life and health systems.
-
E.
National Center for Biotechnology Information
The National Center for Biotechnology Information (NCBI) is a U.S. government bioinformatics institution that develops and hosts major biological databases and tools for biomedical research.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bioconductor Target entity description: Bioconductor is an open-source project that provides R packages and tools for the analysis and comprehension of high-throughput genomic and biological data.
-
A.
CRAN
CRAN is the Comprehensive R Archive Network, a primary repository for R packages, source code, and documentation used by the R programming community.
-
B.
RStudio
RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
-
C.
ICMBio
ICMBio is Brazil’s federal agency responsible for managing and protecting the country’s conservation units and biodiversity.
-
D.
Department of Computational Biology and Medical Sciences
The Department of Computational Biology and Medical Sciences is an academic unit specializing in the integration of computational methods with biological and medical research to advance understanding of complex life and health systems.
-
E.
National Center for Biotechnology Information
The National Center for Biotechnology Information (NCBI) is a U.S. government bioinformatics institution that develops and hosts major biological databases and tools for biomedical research.
- F. None of above. chosen
Statements (122)
| Predicate | Object |
|---|---|
| instanceOf |
R package ecosystem
ⓘ
bioinformatics infrastructure ⓘ open-source software project ⓘ software repository ⓘ |
| compatibleWith |
BiocManager
ⓘ
linked to:
BiocManager R package
CRAN ⓘ |
| field |
bioinformatics
ⓘ
computational biology ⓘ genomics ⓘ |
| focus |
RNA-Seq data analysis
ⓘ
biological data analysis ⓘ epigenomics ⓘ high-throughput genomic data analysis ⓘ microarray data analysis ⓘ proteomics ⓘ single-cell genomics ⓘ statistical genomics ⓘ systems biology ⓘ transcriptomics ⓘ variant analysis ⓘ |
| goal |
facilitate analysis of high-throughput genomic data
ⓘ
integrate statistical methods with biological annotation ⓘ promote reproducible research in genomics ⓘ provide interoperable R packages for biology ⓘ support collaborative software development in bioinformatics ⓘ |
| hasCommunity |
core team
ⓘ
developers ⓘ maintainers ⓘ users ⓘ |
| hasComponent |
AnnotationDbi package
ⓘ
AnnotationHub ⓘ BSgenome packages ⓘ BiocCheck package ⓘ
linked to:
Static Code Checker
BiocFileCache package ⓘ
linked to:
Bioconductor
BiocGenerics package ⓘ BiocManager R package ⓘ BiocNeighbors package ⓘ BiocParallel package ⓘ
linked to:
Bioconductor
BiocPkgTools package ⓘ BiocSingular package ⓘ
linked to:
Bioconductor
BiocSklearn package ⓘ
linked to:
Bioconductor
BiocStyle package ⓘ BiocViews metadata ⓘ BiocWorkflowTools ⓘ Bioconductor Docker images ⓘ
linked to:
Bioconductor
Bioconductor Git repositories ⓘ
linked to:
Bioconductor
Bioconductor annotation hubs ⓘ
linked to:
Bioconductor
Bioconductor books ⓘ Bioconductor build reports ⓘ Bioconductor conferences ⓘ Bioconductor container images ⓘ Bioconductor courses ⓘ Bioconductor issue trackers ⓘ Bioconductor mailing lists ⓘ
linked to:
Bioconductor
Bioconductor package manager tools ⓘ
linked to:
Bioconductor
Bioconductor package metadata ⓘ Bioconductor package submission system ⓘ Bioconductor support site ⓘ Bioconductor website ⓘ Biostrings package ⓘ ComplexHeatmap package ⓘ DESeq2 package ⓘ ExperimentHub ⓘ GEOquery package ⓘ GenomicFeatures package ⓘ GenomicRanges package ⓘ
linked to:
Bioconductor
OrganismDbi packages ⓘ Rsamtools package ⓘ ShortRead package ⓘ SingleCellExperiment package ⓘ
linked to:
Bioconductor
SummarizedExperiment package ⓘ TxDb packages ⓘ VariantAnnotation package ⓘ annotation packages ⓘ biocViews classification system ⓘ biomaRt package ⓘ clusterProfiler package ⓘ continuous integration system ⓘ edgeR package ⓘ experiment data packages ⓘ limma package ⓘ org.Hs.eg.db package ⓘ package build system ⓘ package review process ⓘ scater package ⓘ scran package ⓘ software packages ⓘ vignettes ⓘ web-based documentation ⓘ workflows ⓘ |
| hasDocumentation |
books
ⓘ
course materials ⓘ online manuals ⓘ package vignettes ⓘ workflows ⓘ |
| isFree | true ⓘ |
| license | open-source license ⓘ |
| operatingSystem |
Linux
ⓘ
Windows ⓘ macOS ⓘ |
| primaryLanguage | R ⓘ |
| programmingLanguage | R ⓘ |
| supports |
annotation resources
ⓘ
experiment data packages ⓘ genome-scale data ⓘ high-throughput sequencing data ⓘ interactive visualization ⓘ literate programming ⓘ reproducible research ⓘ versioned software packages ⓘ workflows ⓘ |
| useCase |
copy number analysis
ⓘ
differential expression analysis ⓘ dimensionality reduction of omics data ⓘ gene set enrichment analysis ⓘ genome annotation ⓘ integration of multi-omics data ⓘ methylation analysis ⓘ pathway analysis ⓘ single-cell clustering ⓘ variant calling post-processing ⓘ |
| website | https://www.bioconductor.org ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Bioconductor Description of subject: Bioconductor is an open-source project that provides R packages and tools for the analysis and comprehension of high-throughput genomic and biological data.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Bioconductor
linked to: Bioconductor
linked to: Bioconductor
linked to: Bioconductor
linked to: Bioconductor
linked to: Bioconductor
linked to: Bioconductor
linked to: Bioconductor
linked to: Bioconductor
linked to: Bioconductor
linked to: Bioconductor