Evidence map›Paper›PMID 25974630›Full record

ArticlePloS one2015

FuncTree: Functional Analysis and Visualization for Large-Scale Omics Data.

Takeru Uchiyama, Mitsuru Irie, Hiroshi Mori, Ken Kurokawa, Takuji Yamada

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Proteome and Lipidome of Extracellular Vesicles fromInternational journal of molecular sciences · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Associations of healthy food choices with gut microbiota profiles.The American journal of clinical nutrition · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Essential role of theLife science alliance · 2020
    Article
  18. Article
  19. PeerJ · 2020
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Takeru UchiyamaDepartment of Biological Information, Tokyo Institute of Technology, Tokyo, Japan.
Mitsuru IrieDepartment of Biological Information, Tokyo Institute of Technology, Tokyo, Japan.
Hiroshi MoriDepartment of Biological Information, Tokyo Institute of Technology, Tokyo, Japan.
Ken KurokawaDepartment of Biological Information, Tokyo Institute of Technology, Tokyo, Japan; Earth-Life Science Institute, Tokyo Institute of Technology, Tokyo, Japan.
Takuji YamadaDepartment of Biological Information, Tokyo Institute of Technology, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exponential growth of high-throughput data and the increasing complexity of omics information have been making processing and interpreting biological data an extremely difficult and daunting task. Here we developed FuncTree (http://bioviz.tokyo/functree), a web-based application for analyzing and visualizing large-scale omics data, including but not limited to genomic, metagenomic, and transcriptomic data. FuncTree allows user to map their omics data onto the "Functional Tree map", a predefined circular dendrogram, which represents the hierarchical relationship of all known biological functions defined in the KEGG database. This novel visualization method allows user to overview the broad functionality of their data, thus allowing a more accurate and comprehensive understanding of the omics information. FuncTree provides extensive customization and calculation methods to not only allow user to directly map their omics data to identify the functionality of their data, but also to compute statistically enriched functions by comparing it to other predefined omics data. We have validated FuncTree's analysis and visualization capability by mapping pan-genomic data of three different types of bacterial genera, metagenomic data of the human gut, and transcriptomic data of two different types of human cell expression. All three mapping strongly confirms FuncTree's capability to analyze and visually represent key functional feature of the omics data. We believe that FuncTree's capability to conduct various functional calculations and visualizing the result into a holistic overview of biological function, would make it an integral analysis/visualization tool for extensive omics base research.

Indexed as

User-Computer InterfaceBacteriaChromosome MappingComputational BiologyDatabases, FactualGenome, BacterialGenomicsHumansInternetIntestinesMetagenome

Identifiers

PMID25974630
PMCPMC4431737

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.