All omics technologies produce large volumes of data that require very specific processing and preparation for downstream interpretation. Going forward the major problems for all omics technologies is to provide efficient, robust and standardized methods for primary data handling and analysis. It also needs to be kept in mind that data volumes are very likely to increase and computational methodology might become the major bottleneck of these technologies. B-IOT proposes to optimize methods used in omics data analysis pipelines for both 2nd generation nucleic acid sequencer-based omics (genomics, epignomics and transcriptomics) and mass spectrometry-based and NMR-based omics (proteomics and metabolomics). Another aim of this project will be the development, adaptation and integration of data analytical methodology for metagenomics data coming from high-throughput sequencing systems. Finally we will construct a robust framework for integrating data from different omics methods for statistically well anchored multi-omic analyses. The output of this project will benefit the integration efforts of the CNAG-CRG and the COS in the Infrastructure for Omics Technologies (IOT) and will provided additional benefit of the offerings of the IOT to the scientific community accessing this infrastructure.
The B-IOT project is funded by the Spanish Ministry of Economy and Competitiveness within the framework of the call Redes de Excelencia 2015 for the Infraestructuras Científicas y Técnicas Singulares (ICTS).