BioJava

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BioJava topic overview

The analysis highlights History, Modules and History and publications as prominent areas in the source structure around BioJava.

Related topics: 50
Source areas: 5
Connected nodes: 55
Extracted relationships: 101
Related term clusters: 19
Bridge connections: 55

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.

Modules · 20 topics

Overview · 11 topics

History and publications · 9 topics

Projects using BioJava · 6 topics

Features · 4 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.

Available in: English
Developers: Amr ALHOSSARY, Andreas Prlic, Dmytro Guzenko, Hannes Brandstätter-Müller, Jose Manuel Duarte, Thomas Down, Michael L Heuer, Peter Troshin, JianJiong Gao, Aleix Lafita, Peter Ros…
License: Lesser GPL 2.1
Original author: Andreas Prlić
Platform: Web browser with Java SE
Release: 2002; 24 years ago (2002)

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Explore different angles and find fresh ideas to shape your next piece of content.

BioJava

5Bioinformatics · Open-source software · BioPerl

9Java (software platform) · Biology · Library (computing)

21Nucleotide sequence · Peptide sequence · Biological database

Explore all related topics Closing gaps

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.

Overview

Features

History and publications

Projects using BioJava

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How BioJava connects Entity context

The extracted context around BioJava shows recurring relationship patterns in the source. For example, BioJava → Archived, Bioclipse, BioSense, Bioshell, BioWeka, Cytoscape, DAS, Dazzle, Dengue, Ensembl, GenBeans, Geneious, IDBS, InforSense Suite, Java, Java API, JEnsembl, Jstacs, Long Short-Term Memory, MassSieve Another extracted example is BioJava → API, Bio, BioJava's, BioPerl, BioPython, BioRuby, EMBOSS, Examples, In October, Java-based Bioinformatics, Matthew Pocock, The BioJava, Thomas Down. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Projects using BioJava · 28

BioJava → Archived, Bioclipse, BioSense, Bioshell, BioWeka, Cytoscape, DAS, Dazzle, Dengue, Ensembl, GenBeans, Geneious, IDBS, InforSense Suite, Java, Java API, JEnsembl, Jstacs, Long Short-Term Memory, MassSieve

related to history · 13

BioJava → API, Bio, BioJava's, BioPerl, BioPython, BioRuby, EMBOSS, Examples, In October, Java-based Bioinformatics, Matthew Pocock, The BioJava, Thomas Down

related to Alignment module · 7

BioJava → For Multiple Sequence Alignment, Guan, Needleman-Wunsch, Sequences, Smith, Uberbacher, Waterman's

related to Comparisons with other alternatives · 5

BioJava → Bio, BioPerl, BioPython, BioRuby, Collectively

related to Core Module · 5

BioJava → BioJava3, DNA, Java, RNA, Specific

related to Protein disorder module · 4

BioJava → Java, Java's, RONN, The BioJava

is a · 3

BioJava → active open source project that has been developed over more than 12 years and by more than 60 developers, open-source software project dedicated to providing Java tools for processing biological data, set of library functions written in the programming language Java for manipulating sequences

related to Modules · 2

BioJava → Apache Maven, DNA

Available in · 1

BioJava → English

Developers · 1

BioJava → Amr ALHOSSARY, Andreas Prlic, Dmytro Guzenko, Hannes Brandstätter-Müller, Jose Manuel Duarte, Thomas Down, Michael L Heuer, Peter Troshin, JianJiong Gao, Aleix Lafita, Peter Ros…

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

protein data sequences module bioinformatics sequence file formats java structures structure using modules open proteins software project pdb also web

BioJava relationships Subject–Predicate–Object triples

TTTA extracted 101 structured relationships around BioJava. Examples in this analysis include BioJava → Available in → English and BioJava → Developers → Amr ALHOSSARY, Andreas Prlic, Dmytro Guzenko, Hannes Brandstätter-Müller, Jose Manuel Duarte, Thomas Down, Michael L Heuer, Peter Troshin, JianJiong Gao, Aleix Lafita, Peter Ros…. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
BioJava	Available in	English	1.00	infobox
BioJava	Developers	Amr ALHOSSARY, Andreas Prlic, Dmytro Guzenko, Hannes Brandstätter-Müller, Jose Manuel Duarte, Thomas Down, Michael L Heuer, Peter Troshin, JianJiong Gao, Aleix Lafita, Peter Ros…	1.00	infobox
BioJava	License	Lesser GPL 2.1	1.00	infobox
BioJava	Original author	Andreas Prlić	1.00	infobox
BioJava	Platform	Web browser with Java SE	1.00	infobox
BioJava	Release	2002; 24 years ago (2002)	1.00	infobox
BioJava	Repository	github.com/biojava	1.00	infobox
BioJava	Stable release	6.0.3 / December 19, 2021; 4 years ago (2021-12-19)	1.00	infobox
BioJava	Type	Bioinformatics	1.00	infobox
BioJava	Website	biojava.org	1.00	infobox
BioJava	Written in	Java	1.00	infobox
BioJava	is a	open-source software project dedicated to providing Java tools for processing biological data	0.90	text
BioJava	is a	set of library functions written in the programming language Java for manipulating sequences	0.90	text
BioJava	is a	active open source project that has been developed over more than 12 years and by more than 60 developers	0.90	text

Related concept clusters Related term clusters

The concept neighborhoods around BioJava bring nearby vocabulary together. In this analysis, examples include Projects, Java and Project. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

BioJava
- Projects
- Java
- Project
- Software
- Data
- Protein
- Written
- Modules
- New
- Bioinformatics
- File
- Sequences
biojava
- Projects
- Java
- Project
- Software
- Data
- Protein
- Written
- Modules
- New
- Bioinformatics
- File
- Sequences
java
- Written
- Amino
- Acid
- Alignment
- Sequences
- Project
- Software
- Structures
- Structure
- Using
- Protein
- Module
bioinformatics
- Web
- Software
- Open
- Using
- File
- Protein
- Tools
- Molecular
- Sequence
- Module
- Source
- Proteins
protein data bank
- Structures
- Structure
- Modifications
- Formats
- Provide
- File
- Pdb
- Application
- Using
- Protein
- Rcsb
- Tools
amino acid
- Acid
- Amino
- Using
- Common
- Molecular
- Multiple
- Also
- Modules
- Sequences
- Module
- Java
- Structure
multiple sequence alignment
- Multiple
- Sequence
- Structure
- Tools
- Provide
- Tool
- Two
- Java
- Using
- Sequences
- Web
- Interface
structural alignment
- Multiple
- Sequence
- Structure
- Tool
- Java
- Using
- Interface
- Module
- Written
- Amino
- Projects
- Two

Connections between topic areas Semantic bridges

For BioJava, one of the stronger structural bridges in this analysis connects BioJava with Modules. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

BioJava — Modules · splits 35 ⟂ 21

BioJava — Overview · splits 44 ⟂ 12

BioJava — History and publications · splits 46 ⟂ 10

BioJava — Projects using BioJava · splits 49 ⟂ 7

BioJava — Features · splits 51 ⟂ 5

Map overview Semantic statistics

BioJava

Nodes56

Edges55

Triples101

Avg. degree1.96

Density0.035714

Components1

Source & methodology

TTTA analyzes the structure around BioJava to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Modules & History and publications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — BioJava · EN edition · Analysis: TopicsToTalkAbout

BioJava: History, Modules & History and publications

BioJava topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Features

History and publications

Modules

Projects using BioJava

For the semantics nerds

Advanced semantic analysis

How BioJava connects Entity context

BioJava

Top relations

Important terminology

Important terminology

BioJava relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

BioJava

Source & methodology