Evidence map›Paper›PMID 33199699›Full record

ArticleScientific reports2020

GIANT: galaxy-based tool for interactive analysis of transcriptomic data.

Jimmy Vandel, Céline Gheeraert, Bart Staels, Jérôme Eeckhoute, Philippe Lefebvre, Julie Dubois-Chevalier

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Histone Mark Profiling in Pediatric Astrocytomas Reveals Prognostic Significance of H3K9 Trimethylation and Histone Methyltransferase SUV39H1.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021
    Article
  13. 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.

Jimmy VandelUniv. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, 59000, Lille, France. jimmy.vandel@inserm.fr.
Céline GheeraertUniv. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, 59000, Lille, France.
Bart StaelsUniv. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, 59000, Lille, France.
Jérôme EeckhouteUniv. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, 59000, Lille, France.
Philippe LefebvreUniv. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, 59000, Lille, France.
Julie Dubois-ChevalierUniv. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, 59000, Lille, France. julie.chevalier@inserm.fr.

Funding

European Research Council 694717
6 · The paper itself

Abstract

Transcriptomic analyses are broadly used in biomedical research calling for tools allowing biologists to be directly involved in data mining and interpretation. We present here GIANT, a Galaxy-based tool for Interactive ANalysis of Transcriptomic data, which consists of biologist-friendly tools dedicated to analyses of transcriptomic data from microarray or RNA-seq analyses. GIANT is organized into modules allowing researchers to tailor their analyses by choosing the specific set of tool(s) to analyse any type of preprocessed transcriptomic data. It also includes a series of tools dedicated to the handling of raw Affymetrix microarray data. GIANT brings easy-to-use solutions to biologists for transcriptomic data mining and interpretation.

Indexed as

Computational BiologyDatabases, GeneticData Interpretation, StatisticalData MiningGene Expression ProfilingHigh-Throughput Nucleotide SequencingOligonucleotide Array Sequence AnalysisSequence Analysis, RNASoftware

Identifiers

PMID33199699
PMCPMC7670435

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.