Evidence map›Paper›PMID 25408696›Full record

ReviewFrontiers in plant science2014

Integrated network analysis and effective tools in plant systems biology.

Atsushi Fukushima, Shigehiko Kanaya, Kozo Nishida

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  4. Review
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  10. Review
  11. Article
  12. Review
  13. Metabolic network modeling with model organisms.Current opinion in chemical biology · 2017
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Comparative Characterization of the Leaf Tissue ofFrontiers in plant science · 2016
    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

3 authors.

Atsushi FukushimaRIKEN Center for Sustainable Resource Science Tsurumi, Yokohama, Japan ; Japan Science and Technology Agency, National Bioscience Database Center Tokyo, Japan.
Shigehiko KanayaGraduate School of Information Science, Nara Institute of Science and Technology Nara, Japan.
Kozo NishidaJapan Science and Technology Agency, National Bioscience Database Center Tokyo, Japan ; Laboratory for Biochemical Simulation, RIKEN Quantitative Biology Center Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the ultimate goals in plant systems biology is to elucidate the genotype-phenotype relationship in plant cellular systems. Integrated network analysis that combines omics data with mathematical models has received particular attention. Here we focus on the latest cutting-edge computational advances that facilitate their combination. We highlight (1) network visualization tools, (2) pathway analyses, (3) genome-scale metabolic reconstruction, and (4) the integration of high-throughput experimental data and mathematical models. Multi-omics data that contain the genome, transcriptome, proteome, and metabolome and mathematical models are expected to integrate and expand our knowledge of complex plant metabolisms.

Indexed as

flux balance analysisgenome-scale metabolic reconstructionnetwork visualizationpathway analysisplant metabolism

Identifiers

PMID25408696
PMCPMC4219401

What OpenQuestion holds

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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.