Evidence map›Paper›PMID 38553675›Full record

ArticleBMC bioinformatics2024

Curare and GenExVis: a versatile toolkit for analyzing and visualizing RNA-Seq data.

Patrick Blumenkamp, Max Pfister, Sonja Diedrich, Karina Brinkrolf, Sebastian Jaenicke, Alexander Goesmann

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

6 authors at 1 institution in 1 country.

Patrick BlumenkampBioinformatics and Systems Biology, Justus Liebig University Giessen, 35392, Giessen, Germany. patrick.blumenkamp@computational.bio.uni-giessen.de.
Max PfisterBioinformatics and Systems Biology, Justus Liebig University Giessen, 35392, Giessen, Germany.
Sonja DiedrichBioinformatics and Systems Biology, Justus Liebig University Giessen, 35392, Giessen, Germany.
Karina BrinkrolfBioinformatics and Systems Biology, Justus Liebig University Giessen, 35392, Giessen, Germany.
Sebastian JaenickeBioinformatics and Systems Biology, Justus Liebig University Giessen, 35392, Giessen, Germany.
Alexander GoesmannBioinformatics and Systems Biology, Justus Liebig University Giessen, 35392, Giessen, Germany.
Justus-Liebig-Universität Gießen · DE

Funding

Deutsche Forschungsgemeinschaft 433194101
6 · The paper itself

Abstract

Even though high-throughput transcriptome sequencing is routinely performed in many laboratories, computational analysis of such data remains a cumbersome process often executed manually, hence error-prone and lacking reproducibility. For corresponding data processing, we introduce Curare, an easy-to-use yet versatile workflow builder for analyzing high-throughput RNA-Seq data focusing on differential gene expression experiments. Data analysis with Curare is customizable and subdivided into preprocessing, quality control, mapping, and downstream analysis stages, providing multiple options for each step while ensuring the reproducibility of the workflow. For a fast and straightforward exploration and visualization of differential gene expression results, we provide the gene expression visualizer software GenExVis. GenExVis can create various charts and tables from simple gene expression tables and DESeq2 results without the requirement to upload data or install software packages. In combination, Curare and GenExVis provide a comprehensive software environment that supports the entire data analysis process, from the initial handling of raw RNA-Seq data to the final DGE analyses and result visualizations, thereby significantly easing data processing and subsequent interpretation.

Indexed as

CurareGene Expression ProfilingHigh-Throughput Nucleotide SequencingReproducibility of ResultsRNA-SeqSequence Analysis, RNASoftwareTranscriptomeCurareData visualizationDifferential gene expressionFAIRReproducibilityRNA-Seq

Identifiers

PMID38553675
PMCPMC10979593
OpenAlexW4393318170

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.