Evidence map›Paper›PMID 28578698›Full record

ArticleBMC bioinformatics2017

dictyExpress: a web-based platform for sequence data management and analytics in Dictyostelium and beyond.

Miha Stajdohar, Rafael D Rosengarten, Janez Kokosar, Luka Jeran, Domen Blenkus, Gad Shaulsky, Blaz Zupan

Abstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Hypermutable hotspot enables the rapid evolution of self/non-self recognition genes inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Cell biology of Dictyostelium.BMC molecular and cell biology · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Assaying Lysosomal Enzyme Activity in Dictyostelium discoideum.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  13. Single Cell Transcriptome Analysis During Development in Dictyostelium.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  14. Article
  15. Lamins as structural nuclear elements through evolution.Current opinion in cell biology · 2023
    Review
  16. Article
  17. Yellow polyketide pigment suppresses premature hatching in social amoeba.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Article
  19. Article
  20. An altered transcriptome underliesFrontiers in genetics · 2022
    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

7 authors.

Miha StajdoharGenialis d.o.o., Trzaska cesta 315, Ljubljana, 1000, Slovenia.
Rafael D RosengartenGenialis Inc., 2726 Bissonnett Street, Suite 240-374, Houston, 77005, TX, USA. rafael@genialis.com.ORCID http://orcid.org/0000-0002-3216-4048
Janez KokosarGenialis d.o.o., Trzaska cesta 315, Ljubljana, 1000, Slovenia.
Luka JeranGenialis d.o.o., Trzaska cesta 315, Ljubljana, 1000, Slovenia.
Domen BlenkusGenialis d.o.o., Trzaska cesta 315, Ljubljana, 1000, Slovenia.
Gad ShaulskyDepartment of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza, Houston, 77030, TX, USA.
Blaz ZupanDepartment of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza, Houston, 77030, TX, USA.

Funding

PROJECT III - Computational Analysis of Phenotypes andP01HD039691 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI KUSPA, ADAM, SHAULSKY, GAD · 2001 to 2016
$14.4M
NICHD NIH HHS P01 HD039691
6 · The paper itself

Abstract

backgroundDictyostelium discoideum, a soil-dwelling social amoeba, is a model for the study of numerous biological processes. Research in the field has benefited mightily from the adoption of next-generation sequencing for genomics and transcriptomics. Dictyostelium biologists now face the widespread challenges of analyzing and exploring high dimensional data sets to generate hypotheses and discovering novel insights.

resultsWe present dictyExpress (2.0), a web application designed for exploratory analysis of gene expression data, as well as data from related experiments such as Chromatin Immunoprecipitation sequencing (ChIP-Seq). The application features visualization modules that include time course expression profiles, clustering, gene ontology enrichment analysis, differential expression analysis and comparison of experiments. All visualizations are interactive and interconnected, such that the selection of genes in one module propagates instantly to visualizations in other modules. dictyExpress currently stores the data from over 800 Dictyostelium experiments and is embedded within a general-purpose software framework for management of next-generation sequencing data. dictyExpress allows users to explore their data in a broader context by reciprocal linking with dictyBase-a repository of Dictyostelium genomic data. In addition, we introduce a companion application called GenBoard, an intuitive graphic user interface for data management and bioinformatics analysis.

conclusionsdictyExpress and GenBoard enable broad adoption of next generation sequencing based inquiries by the Dictyostelium research community. Labs without the means to undertake deep sequencing projects can mine the data available to the public. The entire information flow, from raw sequence data to hypothesis testing, can be accomplished in an efficient workspace. The software framework is generalizable and represents a useful approach for any research community. To encourage more wide usage, the backend is open-source, available for extension and further development by bioinformaticians and data scientists.

Indexed as

User-Computer InterfaceChromatin ImmunoprecipitationCluster AnalysisDictyosteliumHigh-Throughput Nucleotide SequencingInternetSequence Analysis, RNATranscriptomeBioinformaticsChIP-seqDifferential gene expressionPlatformRNA-seqVisual analytics

Identifiers

PMID28578698
PMCPMC5457571

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.