Evidence map›Paper›PMID 19706156›Full record

ArticleBMC bioinformatics2009

dictyExpress: a Dictyostelium discoideum gene expression database with an explorative data analysis web-based interface.

Gregor Rot, Anup Parikh, Tomaz Curk, Adam Kuspa, Gad Shaulsky, Blaz Zupan

Abstract read
In one paragraph

Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Mfsd8 Modulates Growth and the Early Stages of Multicellular Development inFrontiers in cell and developmental biology · 2022
    Article
  3. Article
  4. Article
  5. Frontiers in cellular neuroscience · 2021
    Review
  6. Unusual Occurrence of Two Bona-Fide CCA-Adding Enzymes inInternational journal of molecular sciences · 2020
    Article
  7. Review
  8. Cytokinin Detection during theBiomolecules · 2019
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The Long Noncoding RNA Transcriptome ofG3 (Bethesda, Md.) · 2017
    Article
  18. Article
  19. Review
  20. Terpene synthase genes in eukaryotes beyond plants and fungi: Occurrence in social amoebae.Proceedings of the National Academy of Sciences of the United States of America · 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

6 authors.

Gregor RotFaculty of Computer and Information Science, University of Ljubljana, SI-1000 Ljubljana, Slovenia. gregor.rot@fri.uni-lj.si
Anup Parikh
Tomaz Curk
Adam Kuspa
Gad Shaulsky
Blaz Zupan

Funding

PROJECT III - Computational Analysis of Phenotypes andP01HD039691 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI SUCGANG, RICHARD · 2001 to 2016
$14.4M
Training in Biomedical Discovery from Large Scale Data SetsT90DA022885 · NIDA · BAYLOR COLLEGE OF MEDICINE · PI PALZKILL, TIMOTHY · 2006 to 2009
$635k
Training in Biomedical Discovery from Large Scale Data SetsR90DA023418 · NIDA · BAYLOR COLLEGE OF MEDICINE · PI PALZKILL, TIMOTHY · 2006 to 2009
$582k
NICHD NIH HHS P01 HD039691NICHD NIH HHS P01-HD39691NIDA NIH HHS 1 R90 DA023418NIDA NIH HHS 1 T90 DA022885NIDA NIH HHS R90 DA023418NIDA NIH HHS T90 DA022885
6 · The paper itself

Abstract

backgroundBioinformatics often leverages on recent advancements in computer science to support biologists in their scientific discovery process. Such efforts include the development of easy-to-use web interfaces to biomedical databases. Recent advancements in interactive web technologies require us to rethink the standard submit-and-wait paradigm, and craft bioinformatics web applications that share analytical and interactive power with their desktop relatives, while retaining simplicity and availability.

resultsWe have developed dictyExpress, a web application that features a graphical, highly interactive explorative interface to our database that consists of more than 1000 Dictyostelium discoideum gene expression experiments. In dictyExpress, the user can select experiments and genes, perform gene clustering, view gene expression profiles across time, view gene co-expression networks, perform analyses of Gene Ontology term enrichment, and simultaneously display expression profiles for a selected gene in various experiments. Most importantly, these tasks are achieved through web applications whose components are seamlessly interlinked and immediately respond to events triggered by the user, thus providing a powerful explorative data analysis environment.

conclusiondictyExpress is a precursor for a new generation of web-based bioinformatics applications with simple but powerful interactive interfaces that resemble that of the modern desktop. While dictyExpress serves mainly the Dictyostelium research community, it is relatively easy to adapt it to other datasets. We propose that the design ideas behind dictyExpress will influence the development of similar applications for other model organisms.

Indexed as

Databases, GeneticInternetSoftwareAnimalsComputational BiologyDictyosteliumGene Expression ProfilingUser-Computer Interface

Identifiers

PMID19706156
PMCPMC2738683

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.