Nextflow is a scientific workflow system predominantly used for bioinformatic data analysis. It establishes standards for programmatically creating a series of dependent computational steps and facilitates their execution on various local and cloud resources.
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Nextflow topic overview
The analysis highlights Characters, History, Standards and Science as prominent areas in the source structure around Nextflow.
Related topics
36
Source areas
5
Connected nodes
41
Extracted relationships
104
Concept neighborhoods
15
Bridge connections
41
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Adoption and reception · 16 topics
Characteristics · 14 topics
Overview · 3 topics
Developmental history · 2 topics
Purpose · 1 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Developers
Seqera Labs, Centre for Genomic Regulation
License
Apache License 2.0
Operating system
Linux, macOS, WSL
Original author
Paolo Di Tommaso
Release
April 9, 2013; 13 years ago (2013-04-09)
Repository
https://github.com/nextflow-io/nextflow
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Nextflow connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Nextflow shows recurring relationship patterns in the source. For example, Nextflow → AKS, Apache Ignite, AWS Batch, Azure BatchOther, Cloud, EKS, GKE, Google Life Sciences, HPC, HTCondor, It, Kubernetes, Linux, Local, LSF, Mac OS, Moab, Nextflow's DSL, NQSII, OAR Another extracted example is Nextflow → As, Centre, Chan Zuckerberg Initiative, Francis Crick Institute, Genomic Regulation, In July, Led, Phil Ewels, Quantitative Biology Center, Scientific, Singapore, STAR Genome Institute, Swedish National Genomics Infrastructure, The, These, Tübingen, With. Use these groups to spot repeated connection types before inspecting the individual relationships.
Nextflow
Top relations
related to Execution of workflows· 25
Nextflow → AKS, Apache Ignite, AWS Batch, Azure BatchOther, Cloud, EKS, GKE, Google Life Sciences, HPC, HTCondor, It, Kubernetes, Linux, Local, LSF, Mac OS, Moab, Nextflow's DSL, NQSII, OAR
related to The nf-core community· 17
Nextflow → As, Centre, Chan Zuckerberg Initiative, Francis Crick Institute, Genomic Regulation, In July, Led, Phil Ewels, Quantitative Biology Center, Scientific, Singapore, STAR Genome Institute, Swedish National Genomics Infrastructure, The, These, Tübingen, With
related to history· 12
Nextflow → Apache, Centre, Genomic Regulation, GitHub, GPLv3, In July, In October, July, Nextflow's, Seqera Labs, Spain, The
related to Containers for portability across computing environments· 10
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 104 structured relationships around Nextflow. Examples in this analysis include Nextflow → Developers → Seqera Labs, Centre for Genomic Regulation and Nextflow → License → Apache License 2.0. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Nextflow
Developers
Seqera Labs, Centre for Genomic Regulation
1.00
infobox
Nextflow
License
Apache License 2.0
1.00
infobox
Nextflow
Operating system
Linux, macOS, WSL
1.00
infobox
Nextflow
Original author
Paolo Di Tommaso
1.00
infobox
Nextflow
Release
April 9, 2013; 13 years ago (2013-04-09)
1.00
infobox
Nextflow
Repository
https://github.com/nextflow-io/nextflow
1.00
infobox
Nextflow
Stable release
26.04.6 / 9 July 2026; 46 days ago (9 July 2026)
1.00
infobox
Nextflow
Type
Scientific workflow system, Dataflow programming, Big data
1.00
infobox
Nextflow
Website
www.nextflow.io
1.00
infobox
Nextflow
Written in
Groovy, Java
1.00
infobox
Nextflow
is a
scientific workflow system predominantly used for bioinformatic data analysis
0.90
text
Slurm
instance of
Nextflow supports workload managers
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Nextflow bring nearby vocabulary together. In this analysis, examples include Workflows, Also and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Nextflow
Workflows
Also
Data
Apache
Workflow
Used
Containers
Genomic
Processing
Environments
Scientific
Analysis
nextflow
Workflows
Also
Data
Apache
Workflow
Used
Containers
Genomic
Processing
Environments
Scientific
Analysis
scientific workflow system
Workflow
System
Systems
Centre
Regulation
Genomic
Nf-core
Pipeline
Steps
Portability
Across
Apache
apache groovy
Portability
Environments
Workflows
Cloud
System
Nextflow
Centre
Developers
Language
Processes
Regulation
Used
apache ignite
Portability
Environments
Workflows
Cloud
System
Nextflow
Centre
Developers
Language
Processes
Regulation
Used
apache 2.0
Portability
Environments
Workflows
Cloud
System
Nextflow
Centre
Developers
Language
Processes
Regulation
Used
centre for genomic regulation
Regulation
Genomic
System
July
Project
Processing
Scientific
Nf-core
Github
Portability
Workflow
Apache
swedish national genomics infrastructure
Nf-core
Pipelines
Portability
System
Regulation
Software
Processing
Project
Various
Scientific
Systems
Workflows
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Nextflow, one of the stronger structural bridges in this analysis connects Nextflow with Adoption and reception. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Nextflow
Nodes42
Edges41
Triples104
Avg. degree1.95
Density0.047619
Components1
Source & methodology
TTTA analyzes the structure around Nextflow to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Characters, History, Standards & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
