Evidence map›Paper›PMID 24271392›Full record

ArticleNucleic acids research2014

Network portal: a database for storage, analysis and visualization of biological networks.

Serdar Turkarslan, Elisabeth J Wurtmann, Wei-Ju Wu, Ning Jiang, J Christopher Bare, Karen Foley, David J Reiss, Pavel Novichkov, Nitin S Baliga

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Databases for Microbiologists.Journal of bacteriology · 2015
    Review
  6. Article
  7. Article
  8. 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

9 authors.

Serdar TurkarslanInstitute for Systems Biology, Seattle, WA 98109, USA and Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Elisabeth J Wurtmann
Wei-Ju Wu
Ning Jiang
J Christopher Bare
Karen Foley
David J Reiss
Pavel Novichkov
Nitin S Baliga

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ease of generating high-throughput data has enabled investigations into organismal complexity at the systems level through the inference of networks of interactions among the various cellular components (genes, RNAs, proteins and metabolites). The wider scientific community, however, currently has limited access to tools for network inference, visualization and analysis because these tasks often require advanced computational knowledge and expensive computing resources. We have designed the network portal (http://networks.systemsbiology.net) to serve as a modular database for the integration of user uploaded and public data, with inference algorithms and tools for the storage, visualization and analysis of biological networks. The portal is fully integrated into the Gaggle framework to seamlessly exchange data with desktop and web applications and to allow the user to create, save and modify workspaces, and it includes social networking capabilities for collaborative projects. While the current release of the database contains networks for 13 prokaryotic organisms from diverse phylogenetic clades (4678 co-regulated gene modules, 3466 regulators and 9291 cis-regulatory motifs), it will be rapidly populated with prokaryotic and eukaryotic organisms as relevant data become available in public repositories and through user input. The modular architecture, simple data formats and open API support community development of the portal.

Indexed as

Databases, GeneticGene Regulatory NetworksAlgorithmsArchaeaBacteriaComputer GraphicsGene Expression ProfilingInternetNucleotide MotifsRegulatory Elements, TranscriptionalSoftwareSystems IntegrationTranscription FactorsTranscription Factors

Identifiers

PMID24271392
PMCPMC3964938

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.