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Multi-Omics Profiling Expression Database: Research & Products

The Multi-Omics Profiling Expression Database (MOPED) was an expanding multi-omics resource that supports rapid browsing of transcriptomics and proteomics information from publicly available studies on model organisms and humans. As to date (2021) it has ceased activities and is unaccessible online.

Language: English [EN]
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Multi-Omics Profiling Expression Database topic overview

The analysis highlights Research and Products as prominent areas in the source structure around Multi-Omics Profiling Expression Database.

Related topics
9
Source areas
2
Connected nodes
11
Extracted relationships
9
Related term clusters
10
Bridge connections
11

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.

Systematic Protein Investigative Research Environment · 5 topics
Overview · 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.

Authors
Roger Higdon
Description
MOPED enables discoveries through consistently processed multi-omics data
Primary citation
Higdon R, et al.
Release date
2012
Research center
Seattle Children's Research Institute

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Multi-Omics Profiling Expression 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

Systematic Protein Investigative Research Environment

For the semantics nerds

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

Advanced semantic analysis

How Multi-Omics Profiling Expression Database connects Entity context

The extracted context around Multi-Omics Profiling Expression Database shows recurring relationship patterns in the source. For example, Multi-Omics Profiling Expression Database → Database, Model Organism Protein Expression, MOPED Another extracted example is Multi-Omics Profiling Expression Database → Roger Higdon. Use these groups to spot repeated connection types before inspecting the individual relationships.

Multi-Omics Profiling Expression Database

Top relations

related to Model Organism Protein Expression Database · 3
Multi-Omics Profiling Expression Database → Database, Model Organism Protein Expression, MOPED
Authors · 1
Multi-Omics Profiling Expression Database → Roger Higdon
Description · 1
Multi-Omics Profiling Expression Database → MOPED enables discoveries through consistently processed multi-omics data
Primary citation · 1
Multi-Omics Profiling Expression Database → Higdon R, et al.
Release date · 1
Multi-Omics Profiling Expression Database → 2012
Research center · 1
Multi-Omics Profiling Expression Database → Seattle Children's Research Institute
Website · 1
Multi-Omics Profiling Expression Database → MOPED

Important terminology

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

Important terminology

moped expression data protein database research multi-omics model organism date transcriptomics profiling studies uniprot processed seattle children's institute proteomics relative

Multi-Omics Profiling Expression Database relationships Subject–Predicate–Object triples

TTTA extracted 9 structured relationships around Multi-Omics Profiling Expression Database. Examples in this analysis include Multi-Omics Profiling Expression Database → Authors → Roger Higdon and Multi-Omics Profiling Expression Database → Description → MOPED enables discoveries through consistently processed multi-omics data. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Multi-Omics Profiling Expression DatabaseAuthorsRoger Higdon1.00infobox
Multi-Omics Profiling Expression DatabaseDescriptionMOPED enables discoveries through consistently processed multi-omics data1.00infobox
Multi-Omics Profiling Expression DatabasePrimary citationHigdon R, et al.1.00infobox
Multi-Omics Profiling Expression DatabaseRelease date20121.00infobox
Multi-Omics Profiling Expression DatabaseResearch centerSeattle Children's Research Institute1.00infobox
Multi-Omics Profiling Expression DatabaseWebsiteMOPED1.00infobox
Multi-Omics Profiling Expression Databaserelated to Model Organism Protein Expression DatabaseMOPED0.60section
Multi-Omics Profiling Expression Databaserelated to Model Organism Protein Expression DatabaseModel Organism Protein Expression0.60section
Multi-Omics Profiling Expression Databaserelated to Model Organism Protein Expression DatabaseDatabase0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Multi-Omics Profiling Expression Database bring nearby vocabulary together. In this analysis, examples include Model, Database and Profiling. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Multi-Omics Profiling Expression Database
    • Model
    • Database
    • Profiling
    • Data
    • Organism
    • Expression
    • Multi-omics
    • Available
    • Browsing
    • Expanding
    • Humans
    • Information
  • multi-omics profiling expression database
    • Model
    • Database
    • Multi-omics
    • Profiling
    • Data
    • Organism
    • Organisms
    • Protein
    • Proteomics
    • Publicly
    • Rapid
    • Resource
  • multi-omics
    • Model
    • Database
    • Profiling
    • Organism
    • Expression
    • Available
    • Browsing
    • Expanding
    • Humans
    • Information
    • Investigative
    • Organisms
  • saccharomyces genome database
    • Model
    • Multi-omics
    • Profiling
    • Protein
    • Moped
    • Organism
    • Expression
    • Available
    • Browsing
    • Expanding
    • Humans
    • Information
  • transcriptomics
    • Available
    • Browsing
    • Expanding
    • Humans
    • Information
    • Organisms
    • Proteomics
    • Publicly
    • Rapid
    • Resource
    • Supports
    • Gene
  • model organisms
    • Multi-omics
    • Proteomics
    • Publicly
    • Rapid
    • Resource
    • Supports
    • Profiling
    • Organism
    • Studies
    • Transcriptomics
    • Humans
    • Investigative
  • systematic protein investigative research environment
    • Investigative
    • Systematic
    • Children's
    • Institute
    • Seattle
    • Processed
    • Genecards
    • Uniprot
    • Model
    • Multi-omics
    • Organism
    • Research
  • seattle children's research institute
    • Children's
    • Institute
    • Seattle
    • Research
    • Investigative
    • Systematic
    • Processed
    • Data
    • Model
    • Multi-omics
    • Organism
    • Database

Connections between topic areas Semantic bridges

For Multi-Omics Profiling Expression Database, one of the stronger structural bridges in this analysis connects Multi-Omics Profiling Expression Database with Systematic Protein Investigative Research Environment. 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
Multi-Omics Profiling Expression Database — Systematic Protein Investigative Research Environment · splits 6 ⟂ 6
Multi-Omics Profiling Expression Database — Overview · splits 7 ⟂ 5

Map overview Semantic statistics

Multi-Omics Profiling Expression Database

Nodes12
Edges11
Triples9
Avg. degree1.83
Density0.166667
Components1

Source & methodology

TTTA analyzes the structure around Multi-Omics Profiling Expression Database to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Research & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Multi-Omics Profiling Expression Database · EN edition · Analysis: TopicsToTalkAbout

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