ArticleFrontiers in bioinformatics2022
SingleCAnalyzer: Interactive Analysis of Single Cell RNA-Seq Data on the Cloud.
Article in Frontiers in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis 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
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026Pooled it
- CytoAnalyst web platform facilitates comprehensive single cell RNA sequencing analysis.Scientific reports · 2025Article
- Article
- HemaScope: A Tool for Analyzing Single-cell and Spatial Transcriptomics Data of Hematopoietic Cells.Genomics, proteomics & bioinformatics · 2025Article
- scExplorer: a comprehensive web server for single-cell RNA sequencing data analysis.Bioinformatics advances · 2025Article
- scDAPP: a comprehensive single-cell transcriptomics analysis pipeline optimized for cross-group comparison.NAR genomics and bioinformatics · 2024Article
- scDAPP: a comprehensive single-cell transcriptomics analysis pipeline optimized for cross-group comparison.bioRxiv : the preprint server for biology · 2024Article
- Shaoxia: a web-based interactive analysis platform for single cell RNA sequencing data.BMC genomics · 2024Article
- TooManyCellsInteractive: A visualization tool for dynamic exploration of single-cell data.GigaScience · 2024Article
- Advances in the Application of Single-Cell Transcriptomics in Plant Systems and Synthetic Biology.Biodesign research · 2024Review
- Ursa: A Comprehensive Multiomics Toolbox for High-Throughput Single-Cell Analysis.Molecular biology and evolution · 2023Article
- Scaling up single-cell RNA-seq data analysis with CellBridge workflow.Bioinformatics (Oxford, England) · 2023Article
- Multi-modal quantification of pathway activity with MAYA.Nature communications · 2023Article
- SCALA: A complete solution for multimodal analysis of single-cell Next Generation Sequencing data.Computational and structural biotechnology journal · 2023Article
- Cellsnake: a user-friendly tool for single-cell RNA sequencing analysis.GigaScience · 2022Article
- Multi-level cellular and functional annotation of single-cell transcriptomes using scPipeline.Communications biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell RNA sequencing (scRNA-Seq) enables researchers to quantify the transcriptomes of individual cells. The capacity of researchers to perform this type of analysis has allowed researchers to undertake new scientific goals. The usefulness of scRNA-Seq has depended on the development of new computational biology methods, which have been designed to meeting challenges associated with scRNA-Seq analysis. However, the proper application of these computational methods requires extensive bioinformatics expertise. Otherwise, it is often difficult to obtain reliable and reproducible results. We have developed SingleCAnalyzer, a cloud platform that provides a means to perform full scRNA-Seq analysis from FASTQ within an easy-to-use and self-exploratory web interface. Its analysis pipeline includes the demultiplexing and alignment of FASTQ files, read trimming, sample quality control, feature selection, empty droplets detection, dimensional reduction, cellular type prediction, unsupervised clustering of cells, pseudotime/trajectory analysis, expression comparisons between groups, functional enrichment of differentially expressed genes and gene set expression analysis. Results are presented with interactive graphs, which provide exploratory and analytical features. SingleCAnalyzer is freely available at https://singleCAnalyzer.eu.
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.