MAFFT

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

MAFFT topic overview

The analysis highlights History, Accuracy and results and Algorithm as prominent areas in the source structure around MAFFT.

Related topics: 12
Source areas: 5
Connected nodes: 17
Extracted relationships: 75
Concept neighborhoods: 12
Bridge connections: 17

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.

Overview · 6 topics

Accuracy and results · 3 topics

Algorithm · 1 topics

History · 1 topics

Settings · 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.

Developer: Kazutaka Katoh
Licence: BSD, GPL, others
Operating system: Unix, Linux, Mac, Windows
Release: 2002; 24 years ago (2002)
Stable release: 7.526 / April 2024; 2 years ago (2024-04)
Type: Bioinformatics tool

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.

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How MAFFT connects Entity context

The extracted context around MAFFT shows recurring relationship patterns in the source. For example, MAFFT → Adjusting, BLAST, BLASTP, BLOSUM50, BLOSUM62, Deep, Different, FASTA, Gap Extension Penalty, Gap Open Penalty, In, Protein, Scoring Matrix, SEARCH, SSEARCH, The, There, UNIT, VTML10, VTML80 Another extracted example is MAFFT → Because, ClustalW, CPU, FFT, For, Fourier, In, Later, MAFFT's FFT-NS-2, Needleman-Wunsch, RNA, T-Coffee, This. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Settings · 20

MAFFT → Adjusting, BLAST, BLASTP, BLOSUM50, BLOSUM62, Deep, Different, FASTA, Gap Extension Penalty, Gap Open Penalty, In, Protein, Scoring Matrix, SEARCH, SSEARCH, The, There, UNIT, VTML10, VTML80

related to Accuracy and results · 13

MAFFT → Because, ClustalW, CPU, FFT, For, Fourier, In, Later, MAFFT's FFT-NS-2, Needleman-Wunsch, RNA, T-Coffee, This

related to history · 11

MAFFT → CPU, December, Fourier, It, Kazutaka Katoh, MSA, MSAs, One, The, There, This

related to Algorithm · 8

MAFFT → Distance Calculation, Guide Tree Construction, Iterative Refinement, Pairwise Alignment, Progressive Alignment, The, The MAFFT, This

related to External links · 7

MAFFT → ClustalW, EBIMultiple Sequence Alignment, GenomeNetSIB MyHits, Official, Online ServerMAFFT, PRRN, T-Coffee

Developer · 1

MAFFT → Kazutaka Katoh

Licence · 1

MAFFT → BSD, GPL, others

Operating system · 1

MAFFT → Unix, Linux, Mac, Windows

Release · 1

MAFFT → 2002; 24 years ago (2002)

Stable release · 1

MAFFT → 7.526 / April 2024; 2 years ago (2024-04)

Important terminology

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

Important terminology

alignment sequences sequence algorithm alignments accuracy multiple time algorithms used complexity gap using fast fourier transform scoring guide distance tree

MAFFT relationships Subject–Predicate–Object triples

TTTA extracted 75 structured relationships around MAFFT. Examples in this analysis include MAFFT → Developer → Kazutaka Katoh and MAFFT → Licence → BSD, GPL, others. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
MAFFT	Developer	Kazutaka Katoh	1.00	infobox
MAFFT	Licence	BSD, GPL, others	1.00	infobox
MAFFT	Operating system	Unix, Linux, Mac, Windows	1.00	infobox
MAFFT	Release	2002; 24 years ago (2002)	1.00	infobox
MAFFT	Stable release	7.526 / April 2024; 2 years ago (2024-04)	1.00	infobox
MAFFT	Type	Bioinformatics tool	1.00	infobox
MAFFT	Website	mafft.cbrc.jp/alignment/software	1.00	infobox
MAFFT	Written in	C	1.00	infobox
ClustalW	instance of	studies have shown that MAFFT performs exceptionally well when compared to other popular algorithms	0.80	text
T-Coffee	instance of	studies have shown that MAFFT performs exceptionally well when compared to other popular algorithms	0.80	text
particularly for larger datasets	instance of	studies have shown that MAFFT performs exceptionally well when compared to other popular algorithms	0.80	text
sequences with high degrees of divergence	instance of	studies have shown that MAFFT performs exceptionally well when compared to other popular algorithms	0.80	text

Related concept clusters Concept neighborhoods

The concept neighborhoods around MAFFT bring nearby vocabulary together. In this analysis, examples include Accuracy, Algorithms and Multiple. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

MAFFT
- Accuracy
- Algorithms
- Multiple
- Released
- T-coffee
- Sequence
- Software
- Generation
- Sequences
- Algorithm
- Settings
- Version
mafft
- Accuracy
- Algorithms
- Multiple
- Released
- T-coffee
- Sequence
- Software
- Generation
- Sequences
- Algorithm
- Settings
- Version
progressive alignment
- Version
- Sequence
- Mafft
- Algorithm
- Multiple
- Transform
- Sequences
- Guide
- Tree
- Used
- Progressive
- Accuracy
algorithm
- Version
- Fast
- Fourier
- Progressive
- Transform
- Alignment
- Sequences
- Based
- First
- Pairwise
- Settings
- Guide
accuracy and results
- Alignments
- Mafft
- Algorithms
- Generation
- Refinement
- Alignment
- Iterative
- Sequences
- Bioinformatics
- Software
- Based
- First
bioinformatics
- Fast
- Fourier
- Transform
- Used
- Multiple
- Software
- Based
- First
- Input
- Mafft
- Settings
- Version
distance matrix
- Calculation
- Scoring
- Matrix
- Pairwise
- Using
- Guide
- Tree
- Complexity
- Time
- Settings
- Sequences
- Penalty
fast fourier transform
- Fourier
- Transform
- Used
- Based
- First
- Version
- Algorithm
- Progressive
- Sequences
- Software
- Input
- Settings

Connections between topic areas Semantic bridges

For MAFFT, one of the stronger structural bridges in this analysis connects MAFFT with Overview. 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

MAFFT — Overview · splits 11 ⟂ 7

MAFFT — Accuracy and results · splits 14 ⟂ 4

Map overview Semantic statistics

MAFFT

Nodes18

Edges17

Triples75

Avg. degree1.89

Density0.111111

Components1

Source & methodology

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

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