ArticleBMC bioinformatics2021
RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis.
Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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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.
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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.
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Who cites it
18 citing papers in PubMed, 29 citations in OpenAlex.
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- Delineation of signaling routes that underlie differences in macrophage phenotypic states.NAR molecular medicine · 2025Article
- UTAP2: an enhanced user-friendly transcriptome and epigenome analysis pipeline.BMC bioinformatics · 2025Article
- inDAGO: a user-friendly interface for seamless dual and bulk RNA-Seq analysis.Frontiers in bioinformatics · 2025Article
- konnect2prot 2.0: Integrating advanced analytical tools for deeper understanding of protein properties in a functional protein-protein interaction network.Computational and structural biotechnology journal · 2025Article
- A stretchable human lung-on-chip model of alveolar inflammation for evaluating anti-inflammatory drug response.Bioengineering & translational medicine · 2025Article
- Gene expression changes in human cerebral arteries following hemoglobin exposure: implications for vascular responses in SAH.Frontiers in physiology · 2025Article
- Key epigenetic and signaling factors in the formation and maintenance of the blood-brain barrier.eLife · 2024Article
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- Critical Differential Expression Assessment for Individual Bulk RNA-Seq Projects.bioRxiv : the preprint server for biology · 2024Article
- Data Mining of Microarray Datasets in Translational Neuroscience.Brain sciences · 2023Review
- Gene-edited and -engineered stem cell platform drives immunotherapy for brain metastatic melanomas.Science translational medicine · 2023Article
- Small RNA-Seq Transcriptome Profiling of Mesothelial and Mesothelioma Cell Lines Revealed microRNA Dysregulation after Exposure to Asbestos-like Fibers.Biomedicines · 2023Article
- Dysregulation of microRNAs and tRNA-derived ncRNAs in mesothelial and mesothelioma cell lines after asbestiform fiber exposure.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundRNA-Seq is a well-established technology extensively used for transcriptome profiling, allowing the analysis of coding and non-coding RNA molecules. However, this technology produces a vast amount of data requiring sophisticated computational approaches for their analysis than other traditional technologies such as Real-Time PCR or microarrays, strongly discouraging non-expert users. For this reason, dozens of pipelines have been deployed for the analysis of RNA-Seq data. Although interesting, these present several limitations and their usage require a technical background, which may be uncommon in small research laboratories. Therefore, the application of these technologies in such contexts is still limited and causes a clear bottleneck in knowledge advancement.
resultsMotivated by these considerations, we have developed RNAdetector, a new free cross-platform and user-friendly RNA-Seq data analysis software that can be used locally or in cloud environments through an easy-to-use Graphical User Interface allowing the analysis of coding and non-coding RNAs from RNA-Seq datasets of any sequenced biological species.
conclusionsRNAdetector is a new software that fills an essential gap between the needs of biomedical and research labs to process RNA-Seq data and their common lack of technical background in performing such analysis, which usually relies on outsourcing such steps to third party bioinformatics facilities or using expensive commercial software.
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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.