Evidence map›Paper›PMID 26082651›Full record

ReviewAdvances and applications in bioinformatics and chemistry : AABC2015

Tools for visualization and analysis of molecular networks, pathways, and -omics data.

Jose M Villaveces, Prasanna Koti, Bianca H Habermann

Open access · goldAbstract readReview
In one paragraph

Review in Advances and applications in bioinformatics and chemistry : AABC, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  5. Review
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  15. Mapping Alterations Induced by Long-Term Axenic Cultivation ofFrontiers in cellular and infection microbiology · 2019
    Article
  16. Global Proteomic Response ofFrontiers in cellular and infection microbiology · 2019
    Article
  17. Turning omics data into therapeutic insights.Current opinion in pharmacology · 2018
    Review
  18. Article
  19. 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

3 authors at 1 institution in 1 country.

Jose M VillavecesMax Planck Institute of Biochemistry, Research Group Computational Biology, Martinsried, Germany.
Prasanna KotiMax Planck Institute of Biochemistry, Research Group Computational Biology, Martinsried, Germany.
Bianca H HabermannMax Planck Institute of Biochemistry, Research Group Computational Biology, Martinsried, Germany.
Max Planck Society · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological pathways have become the standard way to represent the coordinated reactions and actions of a series of molecules in a cell. A series of interconnected pathways is referred to as a biological network, which denotes a more holistic view on the entanglement of cellular reactions. Biological pathways and networks are not only an appropriate approach to visualize molecular reactions. They have also become one leading method in -omics data analysis and visualization. Here, we review a set of pathway and network visualization and analysis methods and take a look at potential future developments in the field.

Indexed as

biological networksgenesorganismsprotein-protein interactionsproteinsreactionssignaling

Identifiers

PMID26082651
PMCPMC4461095
OpenAlexW1954603895

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.