Evidence map›Paper›PMID 40770264›Full record

ArticleScientific reports2025

CytoAnalyst web platform facilitates comprehensive single cell RNA sequencing analysis.

Phi Bya, Duy Tran, Khoi Nguyen, Sorin Draghici, Tin Nguyen

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Phi ByaDepartment of Computer Science and Software Engineering, Auburn University, Auburn, 36849, AL, USA.
Duy TranDepartment of Computer Science and Software Engineering, Auburn University, Auburn, 36849, AL, USA.
Khoi NguyenDepartment of Computer Science and Software Engineering, Auburn University, Auburn, 36849, AL, USA.
Sorin DraghiciDepartment of Computer Science, Wayne State University, Detroit, 48202, MI, USA.
Tin NguyenDepartment of Computer Science and Software Engineering, Auburn University, Auburn, 36849, AL, USA. tinn@auburn.edu.

Funding

A web-based platform for robust single-cell analysis, bulk data deconvolution and system-level analysisR44GM152152 · NIGMS · ADVAITA CORPORATION · PI IOSEF, CRISTIANA · 2023 to 2024
$1.8M
Personalization of graphical models using multi-omics data for subtype discovery and prognosisU01CA274573 · NCI · AUBURN UNIVERSITY AT AUBURN · PI LUU, HUNG N, NGUYEN, TIN C · 2023 to 2025
$1.4M
National Science Foundation, United States 2343019NCI NIH HHS U01 CA274573NCI NIH HHS U01CA274573NIGMS NIH HHS R44 GM152152NIGMS NIH HHS R44GM152152
6 · The paper itself

Abstract

Single-cell technologies have revolutionized our ability to study cellular heterogeneity and dynamics at unprecedented resolutions. In this fast-growing field, it becomes increasingly challenging to navigate the vast number of tools and steps for analysis. It is particularly difficult to integrate and analyze large datasets that require extensive collaborations and customized pipelines to obtain robust results. We present CytoAnalyst, a web-based platform that offers a number of important advantages over existing tools for single-cell analysis. First, the platform enables custom pipeline configuration using an efficient study management system and a broad range of analysis modules. Second, the platform supports parallel analysis instances, facilitating the comprehensive comparison of different methods or parameter settings available at each analysis step. Third, the advanced sharing system facilitates real-time synchronization among team members and seamless analysis continuation across different devices. Finally, the grid-layout visualization system supports simultaneous displays of different data aspects, allowing for the comparison of multiple labels and plots side-by-side for comprehensive data insights, with the ability to save and reload visualization settings at any analysis step. The platform incorporates multiple blending modes, allowing users to combine plots in various ways for comprehensive data exploration. CytoAnalyst supports a high level of analytical rigor while providing user-friendly and flexible operations through its carefully designed interface and extensive documentation. The platform supports all major web browsers and is freely available at https://cytoanalyst.tinnguyen-lab.com .

Indexed as

Sequence Analysis, RNASingle-Cell AnalysisSoftwareHumansInternetAI-guided cell annotationCell type annotationClustering analysisEmbedding analysisInteractive visualizationSingle-cell analysis

Identifiers

PMID40770264
PMCPMC12328742

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.