Evidence map›Paper›PMID 33624743›Full record

ArticleBioinformatics (Oxford, England)2021

BloodGen3Module: blood transcriptional module repertoire analysis and visualization using R.

Darawan Rinchai, Jessica Roelands, Mohammed Toufiq, Wouter Hendrickx, Matthew C Altman, Davide Bedognetti, Damien Chaussabel

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Immune Responses to Influenza Infection in Children.Open forum infectious diseases · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. CMV-specific clonal expansion of Th1, GZMKbioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  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

7 authors.

Darawan RinchaiResearch branch, Sidra Medicine, Doha, Qatar.
Jessica RoelandsResearch branch, Sidra Medicine, Doha, Qatar.
Mohammed ToufiqResearch branch, Sidra Medicine, Doha, Qatar.
Wouter HendrickxResearch branch, Sidra Medicine, Doha, Qatar.ORCID 0000-0002-7649-5092
Matthew C AltmanDivision of Allergy and Infectious Diseases, University of Washington, Seattle, WA, 98195, USA.
Davide BedognettiResearch branch, Sidra Medicine, Doha, Qatar.
Damien ChaussabelResearch branch, Sidra Medicine, Doha, Qatar.ORCID 0000-0002-6131-7242

Funding

Blood Transcriptional Biomarker Profiles for Category B PathogensU01AI082110 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI LINSLEY, PETER S · 2009 to 2013
$6.3M
NIAID NIH HHS U01 AI082110NIH HHS U01AI082110
6 · The paper itself

Abstract

motivationWe previously described the construction and characterization of fixed reusable blood transcriptional module repertoires. More recently we released a third iteration ('BloodGen3' module repertoire) that comprises 382 functionally annotated modules and encompasses 14 168 transcripts. Custom bioinformatic tools are needed to support downstream analysis, visualization and interpretation relying on such fixed module repertoires.

resultsWe have developed and describe here an R package, BloodGen3Module. The functions of our package permit group comparison analyses to be performed at the module-level, and to display the results as annotated fingerprint grid plots. A parallel workflow for computing module repertoire changes for individual samples rather than groups of samples is also available; these results are displayed as fingerprint heatmaps. An illustrative case is used to demonstrate the steps involved in generating blood transcriptome repertoire fingerprints of septic patients. Taken together, this resource could facilitate the analysis and interpretation of changes in blood transcript abundance observed across a wide range of pathological and physiological states. AVAILABILITY AND IMPLEMENTATION: The BloodGen3Module package and documentation are freely available from Github: https://github.com/Drinchai/BloodGen3Module. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Identifiers

PMID33624743
PMCPMC8388021

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.