Evidence map›Paper›PMID 30298069›Full record

ArticleFrontiers in immunology2018

ImmuneDB, a Novel Tool for the Analysis, Storage, and Dissemination of Immune Repertoire Sequencing Data.

Aaron M Rosenfeld, Wenzhao Meng, Eline T Luning Prak, Uri Hershberg

Abstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Revised Adaptive Immune Receptor Data in the Immune Epitope Database.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. AnalyzAIRR: A user-friendly guided workflow for AIRR data analysis.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  5. IgMScientific reports · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Antibody repertoire sequencing analysis.Acta biochimica et biophysica Sinica · 2022
    Review
  15. Transcriptome and unique cytokine microenvironment of Castleman disease.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Article
  16. Data Sharing and Reuse: A Method by the AIRR Community.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  17. 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

4 authors.

Aaron M RosenfeldSchool of Biomedical Engineering Science and Health Systems, Drexel University, Philadelphia, PA, United States.
Wenzhao MengDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Eline T Luning PrakDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Uri HershbergSchool of Biomedical Engineering Science and Health Systems, Drexel University, Philadelphia, PA, United States.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
Transcriptomics and Repertoire ProfilingP01AI106697 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Donna L. Farber · 2013 to 2026
$31.3M
Penn integrated Human Pancreas procurement and Analysis ProgramUC4DK112217 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BETTS, MICHAEL R, FELDMAN, MICHAEL D · 2016 to 2020
$17.8M
NCI NIH HHS P30 CA016520NIAID NIH HHS P01 AI106697NIDDK NIH HHS UC4 DK112217
6 · The paper itself

Abstract

ImmuneDB is a system for storing and analyzing high-throughput immune receptor sequencing data. Unlike most existing tools, which utilize flat-files, ImmuneDB stores data in a well-structured MySQL database, enabling efficient data queries. It can take raw sequencing data as input and annotate receptor gene usage, infer clonotypes, aggregate results, and run common downstream analyses such as calculating selection pressure and constructing clonal lineages. Alternatively, pre-annotated data can be imported and analyzed data can be exported in a variety of common Adaptive Immune Receptor Repertoire (AIRR) file formats. To validate ImmuneDB, we compare its results to those of another pipeline, MiXCR. We show that the biological conclusions drawn would be similar with either tool, while ImmuneDB provides the additional benefits of integrating other common tools and storing data in a database. ImmuneDB is freely available on GitHub at https://github.com/arosenfeld/immunedb, on PyPi at https://pypi.org/project/ImmuneDB, and a Docker container is provided at https://hub.docker.com/r/arosenfeld/immunedb. Full documentation is available at http://immunedb.com.

Indexed as

Databases, Nucleic AcidSequence Analysis, DNASoftwareHumansReceptors, ImmunologicReceptors, Immunologicantibody repertoire analysisB-cell receptorbioinformaticsdatabasenext-generation sequencing

Identifiers

PMID30298069
PMCPMC6161679

What OpenQuestion holds

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LicenceCC BY
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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.