Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Expasy

Expasy is an online bioinformatics resource operated by the SIB Swiss Institute of Bioinformatics. It is an extensible and integrative portal which provides access to over 160 databases and software tools and supports a range of life science and clinical research areas, from genomics, proteomics and structural biology, to evolution and phylogeny, systems…

History & Science

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

Research this topic

Explore the main themes, entities and connections around Expasy. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Search engine

History

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.

Map overview Semantic statistics

Expasy

Nodes20
Edges19
Triples12
Avg. degree1.9
Density0.1
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Expasy

Top relations

related to history · 9
Expasy → Among, April, As, August, Expert Protein Analysis System, Originally, Page, UniProtKB/Swiss-Prot, UniProtKB/TrEMBL
related to Search engine · 2
Expasy → Queries, SIB
is a · 1
Expasy → online bioinformatics resource operated by the SIB Swiss Institute of Bioinformatics

Important terminology Word statistics

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

Important terminology

sib bioinformatics resources databases portal swiss institute software tools proteomics provides 160 life hosted groups search protein extensible integrative genomics

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Expasyis aonline bioinformatics resource operated by the SIB Swiss Institute of Bioinformatics0.90text
Expasyrelated to historyAugust0.60section
Expasyrelated to historyOriginally0.60section
Expasyrelated to historyExpert Protein Analysis System0.60section
Expasyrelated to historyPage0.60section
Expasyrelated to historyAmong0.60section
Expasyrelated to historyUniProtKB/Swiss-Prot0.60section
Expasyrelated to historyUniProtKB/TrEMBL0.60section
Expasyrelated to historyAs0.60section
Expasyrelated to historyApril0.60section
Expasyrelated to Search engineQueries0.60section
Expasyrelated to Search engineSIB0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.