Evidence map›Paper›PMID 20478823›Full record

ArticleNucleic acids research2010

Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling.

Ignacio Medina, José Carbonell, Luis Pulido, Sara C Madeira, Stefan Goetz, Ana Conesa, Joaquín Tárraga, Alberto Pascual-Montano, Ruben Nogales-Cadenas, Javier Santoyo and 4 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 3 pooled it
–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

192 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Protein Microarray Analysis with GenePix.Methods in molecular biology (Clifton, N.J.) · 2025
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132 more citing papers are in PubMed but not listed here.

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

14 authors.

Ignacio MedinaBioinformatics Department, Centro de Investigación Príncipe Felipe, Autopista del Saler 16, Valencia, Spain.
José Carbonell
Luis Pulido
Sara C Madeira
Stefan Goetz
Ana Conesa
Joaquín Tárraga
Alberto Pascual-Montano
Ruben Nogales-Cadenas
Javier Santoyo
Francisco García
Martina Marbà
David Montaner
Joaquín Dopazo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Babelomics is a response to the growing necessity of integrating and analyzing different types of genomic data in an environment that allows an easy functional interpretation of the results. Babelomics includes a complete suite of methods for the analysis of gene expression data that include normalization (covering most commercial platforms), pre-processing, differential gene expression (case-controls, multiclass, survival or continuous values), predictors, clustering; large-scale genotyping assays (case controls and TDTs, and allows population stratification analysis and correction). All these genomic data analysis facilities are integrated and connected to multiple options for the functional interpretation of the experiments. Different methods of functional enrichment or gene set enrichment can be used to understand the functional basis of the experiment analyzed. Many sources of biological information, which include functional (GO, KEGG, Biocarta, Reactome, etc.), regulatory (Transfac, Jaspar, ORegAnno, miRNAs, etc.), text-mining or protein-protein interaction modules can be used for this purpose. Finally a tool for the de novo functional annotation of sequences has been included in the system. This provides support for the functional analysis of non-model species. Mirrors of Babelomics or command line execution of their individual components are now possible. Babelomics is available at http://www.babelomics.org.

Indexed as

Gene Expression ProfilingGenomicsProteomicsSoftwareInternetOligonucleotide Array Sequence Analysis

Identifiers

PMID20478823
PMCPMC2896184

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.