ArticleG3 (Bethesda, Md.)2019
ARMOR: An
Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled 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.
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
41 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-Analysis of Two Human RNA-seq Datasets to Determine Periodontitis Diagnostic Biomarkers and Drug Target Candidates.International journal of molecular sciences · 2022Pooled it
- A signaling pathway-driven bioinformatics pipeline for predicting therapeutics against emerging infectious diseases.F1000Research · 2021Pooled it
- XRCC1 deficiency drives telomeric chromatin leakage, inflammatory signalling and senescence.Redox biology · 2026Article
- Multimodal protective and susceptibility clusters in paediatric atopic dermatitis: A machine learning-based, data-driven observational study.PLoS medicine · 2026Observational
- Reciprocal signaling-metabolic crosstalk between fibroblasts and tumor cells drives cetuximab tolerance in head and neck cancers.Journal of experimental & clinical cancer research : CR · 2026Article
- Bone morphogenetic proteins 4 and 7 increase human white and brown adipocyte thermogenic capacity.JCI insight · 2026Article
- CRESCENT, a comprehensive RNA-Seq expression, splicing, and coding/non-coding element network tool.BMC bioinformatics · 2026Article
- The HIV-1 Vpr R77Q mutant alters host apoptotic gene regulation in CD4+ T cells.Frontiers in cellular and infection microbiology · 2026Article
- Transcriptomic profile of TiOArchives of toxicology · 2025Article
- Histone-, Receptor-, and Integrin-Related Gene Products and ADAM28 as Relevant to B-Cell Acute Lymphoblastic Leukemia (B-ALL).Current issues in molecular biology · 2025Article
- Article
- An NRF2/β3-Adrenoreceptor Axis Drives a Sustained Antioxidant and Metabolic Rewiring Through the Pentose-Phosphate Pathway to Alleviate Cardiac Stress.Circulation · 2025Article
- Unique transcriptomic responses of rat and human alveolar macrophages in an in vitro model of overload with TiOParticle and fibre toxicology · 2025Article
- CREB3 gain of function variants protect against ALS.Nature communications · 2025Article
- PPARα-mediated lipid metabolism reprogramming supports anti-EGFR therapy resistance in head and neck squamous cell carcinoma.Nature communications · 2025Article
- Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review.Computational and structural biotechnology journal · 2024Review
- Article
- Article
- Secondary Analysis of Human Bulk RNA-Seq Dataset Suggests Potential Mechanisms for Letrozole Resistance in Estrogen-Positive (ER+) Breast Cancer.Current issues in molecular biology · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The extensive generation of RNA sequencing (RNA-seq) data in the last decade has resulted in a myriad of specialized software for its analysis. Each software module typically targets a specific step within the analysis pipeline, making it necessary to join several of them to get a single cohesive workflow. Multiple software programs automating this procedure have been proposed, but often lack modularity, transparency or flexibility. We present ARMOR, which performs an end-to-end RNA-seq data analysis, from raw read files, via quality checks, alignment and quantification, to differential expression testing, geneset analysis and browser-based exploration of the data. ARMOR is implemented using the Snakemake workflow management system and leverages conda environments; Bioconductor objects are generated to facilitate downstream analysis, ensuring seamless integration with many R packages. The workflow is easily implemented by cloning the GitHub repository, replacing the supplied input and reference files and editing a configuration file. Although we have selected the tools currently included in ARMOR, the setup is modular and alternative tools can be easily integrated.
Indexed as
Identifiers
What OpenQuestion holds
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.