To integrate heterogeneous and large omics data constitutes not only a conceptual challenge but a practical hurdle in the daily analysis of omics data. With the rise of novel omics technologies and through lar...
Volume 8 Supplement 2
Selected articles from the High-Throughput Omics and Data Integration Workshop
Edited by David Gomez-Cabrero, Ana Conesa, Jesper Tegner, Dieter Maier, Matthias Merkenschlager, Imad Abugessaisa, Andreas Gisel, Erik Bongcam-Rudloff, Esteban Ballestar and Andrew Teschendorff
Publication of this supplement has been partially funded by COST-BMBS, Action BM1006 "Next Generation Sequencing Data Analysis Network", SeqAhead. Information about the source of funding for the remaining publication charges can be found in the individual articles. Articles have undergone the journal's standard review process for supplements. The Supplement Editors declare that they have no competing interests.
High-Throughput Omics and Data Integration Workshop. Go to conference site.
Barcelona, Spain13-15 February 2013
Citation: BMC Systems Biology 2014 8(Suppl 2):I1
The rise of systems biology is intertwined with that of genomics, yet their primordial relationship to one another is ill-defined. We discuss how the growth of genomics provided a critical boost to the popular...Citation: BMC Systems Biology 2014 8(Suppl 2):S1
High-throughput omics technologies have enabled the measurement of many genes or metabolites simultaneously. The resulting high dimensional experimental data poses significant challenges to transcriptomics and...Citation: BMC Systems Biology 2014 8(Suppl 2):S2
Most biochemical reactions in a cell are regulated by highly specialized proteins, which are the prime mediators of the cellular phenotype. Therefore the identification, quantitation and characterization of al...Citation: BMC Systems Biology 2014 8(Suppl 2):S3
Technological improvements have shifted the focus from data generation to data analysis. The availability of large amounts of data from transcriptomics, protemics and metabolomics experiments raise new questio...Citation: BMC Systems Biology 2014 8(Suppl 2):S4
Weighted Interaction SNP Hub (WISH) network method for building genetic networks for complex diseases and traits using whole genome genotype data
High-throughput genotype (HTG) data has been used primarily in genome-wide association (GWA) studies; however, GWA results explain only a limited part of the complete genetic variation of traits. In systems ge...Citation: BMC Systems Biology 2014 8(Suppl 2):S5
Nowadays, combining the different sources of information to improve the biological knowledge available is a challenge in bioinformatics. One of the most powerful methods for integrating heterogeneous data type...Citation: BMC Systems Biology 2014 8(Suppl 2):S6
The development of high-throughput omics technologies enabled genome-wide measurements of the activity of cellular elements and provides the analytical resources for the progress of the Systems Biology discipl...Citation: BMC Systems Biology 2014 8(Suppl 2):S7
A diVIsive Shuffling Approach (VIStA) for gene expression analysis to identify subtypes in Chronic Obstructive Pulmonary Disease
An important step toward understanding the biological mechanisms underlying a complex disease is a refined understanding of its clinical heterogeneity. Relating clinical and molecular differences may allow us ...Citation: BMC Systems Biology 2014 8(Suppl 2):S8
High-throughput sequencing assays are now routinely used to study different aspects of genome organization. As decreasing costs and widespread availability of sequencing enable more laboratories to use sequenc...Citation: BMC Systems Biology 2014 8(Suppl 2):S9