ArticleMolecules and cells2025
THRAISE: An automated and reproducible web platform for RNA-seq analysis.
Article in Molecules and cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Molecules and Cells 2025, highlights from molecules to organisms.Molecules and cells · 2026Article
- Editorial: MiniResource papers from Molecules and Cells.Molecules and cells · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcriptome-wide High-throughput RNA-seq Analysis Integrated System is a highly streamlined web platform for RNA-seq analysis that requires no programming expertise. Starting from raw NCBI Sequence Read Archive data, it performs the entire analysis pipeline, which includes quality control, alignment, quantification, differential expression, and functional enrichment using Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Reactome, and Gene Set Enrichment Analysis. For datasets with limited replicates (n = 1), an alternative workflow is also provided, based on transcripts per million. With real-time monitoring, interactive visualization, and a user-friendly interface, Transcriptome-wide High-throughput RNA-seq Analysis Integrated System enables accessible and reproducible RNA-seq analysis for all researchers.
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.