ArticleFrontiers in immunology2018
VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements.
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 47 papers.
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.
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.
Who cites it
47 citing papers in PubMed.
- Outcome and Immune Correlates of a Phase II Trial of High-Dose Interleukin-2 and Stereotactic Ablative Radiotherapy for Metastatic Renal Cell Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021Trial
- Molecular underpinnings of metastatic small renal masses.JCI insight · 2026Article
- Revised Adaptive Immune Receptor Data in the Immune Epitope Database.bioRxiv : the preprint server for biology · 2026Article
- Increased VH4+JH6+ antibody heavy chain use in plasmablasts from asymptomatic multiple sclerosis patients.Genes and immunity · 2026Article
- Decoding adaptive immunity: advanced strategies in T and B cell repertoire analysis.Journal of translational medicine · 2026Review
- The Adaptive Immune Receptor Repertoire Knowledge Commons: An invitation to the community.Cell systems · 2025Article
- AnalyzAIRR: A user-friendly guided workflow for AIRR data analysis.Immunoinformatics (Amsterdam, Netherlands) · 2025Article
- Challenges and future directions of AIRR-seq-based diagnostics.Immunoinformatics (Amsterdam, Netherlands) · 2025Article
- nuTCRacker: Predicting the Recognition of HLA-I-Peptide Complexes by αβTCRs for Unseen Peptides.European journal of immunology · 2025Article
- Article
- Case Report: Co-occurrence of tubulitis and SARS-CoV-2 specific T-cells in a kidney transplant recipient.Frontiers in transplantation · 2025Article
- TCRosetta: An Integrated Analysis and Annotation Platform for T-cell Receptor Sequences.Genomics, proteomics & bioinformatics · 2024Article
- Designing meaningful continuous representations of T cell receptor sequences with deep generative models.Nature communications · 2024Article
- VH2+ Antigen-Experienced B Cells in the Cerebrospinal Fluid Are Expanded and Enriched in Pediatric Anti-NMDA Receptor Encephalitis.Journal of immunology (Baltimore, Md. : 1950) · 2023Article
- Neuronal binding by antibodies can be influenced by low pH stress during the isolation procedure.Journal of immunological methods · 2023Article
- AIRR community curation and standardised representation for immunoglobulin and T cell receptor germline sets.Immunoinformatics (Amsterdam, Netherlands) · 2023Article
- Analysis of CDR3 Sequences from T-Cell Receptor β in Acute Respiratory Distress Syndrome.Biomolecules · 2023Article
- AIRRscape: An interactive tool for exploring B-cell receptor repertoires and antibody responses.PLoS computational biology · 2022Article
- Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information.Nucleic acids research · 2022Article
- Antibody repertoire sequencing analysis.Acta biochimica et biophysica Sinica · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
Background: Recent technological advances in immune repertoire sequencing have created tremendous potential for advancing our understanding of adaptive immune response dynamics in various states of health and disease. Immune repertoire sequencing produces large, highly complex data sets, however, which require specialized methods and software tools for their effective analysis and interpretation. Results: VDJServer is a cloud-based analysis portal for immune repertoire sequence data that provide access to a suite of tools for a complete analysis workflow, including modules for preprocessing and quality control of sequence reads, V(D)J gene segment assignment, repertoire characterization, and repertoire comparison. VDJServer also provides sophisticated visualizations for exploratory analysis. It is accessible through a standard web browser Conclusion: VDJServer provides a complete analysis suite for human and mouse T-cell and B-cell receptor repertoire sequencing data. The combination of its user-friendly interface and high-performance computing allows large immune repertoire sequencing projects to be analyzed with no programming or software installation required. VDJServer is a web-accessible cloud platform that provides access through a graphical user interface to a data management infrastructure, a collection of analysis tools covering all steps in an analysis, and an infrastructure for sharing data along with workflows, results, and computational provenance. VDJServer is a free, publicly available, and open-source licensed resource.
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Registered trials
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.