ArticleCell reports methods2023
SEQUIN is an R/Shiny framework for rapid and reproducible analysis of RNA-seq data.
Article in Cell reports methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- MiRQuery: a user-friendly web app for the interactive analysis and visualization of microRNA sequencing data.BMC bioinformatics · 2026Article
- Complete Mitochondrial Genome of Turrum coeruleopinnatum Provides Phylogenetic Context and Candidate Selection Signals Within Carangidae.Biochemical genetics · 2026Article
- Yomix: an interactive tool for the exploration of low-dimensional embeddings in omics data.Bioinformatics (Oxford, England) · 2026Article
- MLHeatmap: an interactive application for transcriptomic marker-panel discovery.Bioinformatics advances · 2026Article
- BestopCloud: an integrated one-stop solution for single-cell RNA sequencing data analysis.BMC genomics · 2025Article
- Sequence comparison of the mitochondrial genomes of five caridean shrimps of the infraorder Caridea: phylogenetic implications and divergence time estimation.BMC genomics · 2024Article
- Article
- VIBE: an R-package for VIsualization of Bulk RNA Expression data for therapeutic targeting and disease stratification.Frontiers in oncology · 2024Article
- SinglePointRNA, an user-friendly application implementing single cell RNA-seq analysis software.PloS one · 2024Article
- scX: a user-friendly tool for scRNAseq exploration.Bioinformatics advances · 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
10 authors.
Funding
Abstract
SEQUIN is a web-based application (app) that allows fast and intuitive analysis of RNA sequencing data derived for model organisms, tissues, and single cells. Integrated app functions enable uploading datasets, quality control, gene set enrichment, data visualization, and differential gene expression analysis. We also developed the iPSC Profiler, a practical gene module scoring tool that helps measure and compare pluripotent and differentiated cell types. Benchmarking to other commercial and non-commercial products underscored several advantages of SEQUIN. Freely available to the public, SEQUIN empowers scientists using interdisciplinary methods to investigate and present transcriptome data firsthand with state-of-the-art statistical methods. Hence, SEQUIN helps democratize and increase the throughput of interrogating biological questions using next-generation sequencing data with single-cell resolution.
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.