Literature DB >> 23908249

Facilitating the use of large-scale biological data and tools in the era of translational bioinformatics.

Irene Kouskoumvekaki, Nour Shublaq, Søren Brunak.   

Abstract

As both the amount of generated biological data and the processing compute power increase, computational experimentation is no longer the exclusivity of bioinformaticians, but it is moving across all biomedical domains. For bioinformatics to realize its translational potential, domain experts need access to user-friendly solutions to navigate, integrate and extract information out of biological databases, as well as to combine tools and data resources in bioinformatics workflows. In this review, we present services that assist biomedical scientists in incorporating bioinformatics tools into their research. We review recent applications of Cytoscape, BioGPS and DAVID for data visualization, integration and functional enrichment. Moreover, we illustrate the use of Taverna, Kepler, GenePattern, and Galaxy as open-access workbenches for bioinformatics workflows. Finally, we mention services that facilitate the integration of biomedical ontologies and bioinformatics tools in computational workflows.
© The Author 2013. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Keywords:  biological networks; biomedical ontologies; data integration; scientific workflows; translational bioinformatics

Mesh:

Year:  2013        PMID: 23908249     DOI: 10.1093/bib/bbt055

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  6 in total

1.  Evolutionary signatures amongst disease genes permit novel methods for gene prioritization and construction of informative gene-based networks.

Authors:  Nolan Priedigkeit; Nicholas Wolfe; Nathan L Clark
Journal:  PLoS Genet       Date:  2015-02-13       Impact factor: 5.917

Review 2.  Next-Generation Sequencing Approaches in Cancer: Where Have They Brought Us and Where Will They Take Us?

Authors:  Veronique G LeBlanc; Marco A Marra
Journal:  Cancers (Basel)       Date:  2015-09-23       Impact factor: 6.639

3.  Exploring and visualizing multidimensional data in translational research platforms.

Authors:  William Dunn; Anita Burgun; Marie-Odile Krebs; Bastien Rance
Journal:  Brief Bioinform       Date:  2017-11-01       Impact factor: 11.622

4.  Gene Expression Analysis Platform (GEAP): A highly customizable, fast, versatile and ready-to-use microarray analysis platform.

Authors:  Itamar José Guimarães Nunes; Mariana Recamonde-Mendoza; Bruno César Feltes
Journal:  Genet Mol Biol       Date:  2021-12-17       Impact factor: 1.771

Review 5.  What's that gene (or protein)? Online resources for exploring functions of genes, transcripts, and proteins.

Authors:  James R A Hutchins
Journal:  Mol Biol Cell       Date:  2014-04       Impact factor: 4.138

6.  Reusable, extensible, and modifiable R scripts and Kepler workflows for comprehensive single set ChIP-seq analysis.

Authors:  Nathan Cormier; Tyler Kolisnik; Mark Bieda
Journal:  BMC Bioinformatics       Date:  2016-07-05       Impact factor: 3.169

  6 in total

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