Evidence map›Paper›PMID 40067633›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Reference-Based Gene Expression Analysis Using Galaxy Server.

Sara González-Bodí, Jaime Huerta-Cepas

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Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Sara González-BodíCentro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Madrid, Spain. sara.gonzalez.bodi@upm.es.
Jaime Huerta-CepasCentro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Madrid, Spain. j.huerta@csic.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA sequencing (RNA-Seq) has become the gold standard for transcriptome analysis, making gene expression quantification the core application in molecular biology research. For well-annotated genomes, the standard RNA-Seq workflow relies on a reference genome-based approach. However, RNA-Seq analysis presents different challenges, including complex computational pipelines, the need for bioinformatics skills, and significant computational requirements. The Galaxy platform addresses these challenges by providing an easy-to-use, web-based solution that integrates multiple bioinformatics tools and databases. This enables researchers without extensive bioinformatics expertise to effectively analyze RNA-Seq data. This chapter aims to describe the process and use of the tools required to perform a reference-based RNA-Seq gene expression analysis using the Galaxy public web server.

Indexed as

Computational BiologyGene Expression ProfilingSoftwareTranscriptomeDatabases, GeneticHumansInternetRNA-SeqSequence Analysis, RNAWeb BrowserBioinformaticsDifferential gene expressionEnrichment analysisEnrichment analysisGalaxyRNA-Seq

Identifiers

What OpenQuestion holds

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Registered trials

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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.