Reproducible -omics data interpretation, i.e. the derivation of actionable molecular biomarkers, is currently the main bottleneck in streamlined applications, obstructing the transformation of genomic information into insights for Biomedicine and Biotech. Interpretation is still largely performed manually and slowly, in contrast to upstream processing of raw -omic data, far more standardized and automated.
Interpretation goes beyond typical genomic data analysis and implies the derivation of few actionable biomarkers and molecular pathways, with causal relation in regard to the phenotype, filtered out of a sea of confounders, i.e. false associations. BioInfoMiner enables data-driven, robust and reproducible interpretation, through an innovative framework that efficiently resolves biological complexity.
Transform your raw (e.g. FASTQ) files to molecular mechanisms and actionable biomarkers, without any expertise in bioinformatics. The results will be directly relevant to your experiment and biologically interpretable. No need for in-house experts in Bioinformatics, Biostatistics or cloud computing. No need for computational infrastructure. Raw data and a description of the experiment (conditions, batches) will be enough.
BioInfoMiner interpretation methodology is based on advanced semantics processing/computational intelligence and exploits constantly updated, codified biological knowledge. It does not aggregate but it processes and integrates information.
The process is genuinely data-driven and ensures robustness and unbiased results. The output, however will evolve together with the accumulation of community knowledge.
Derived signatures constitute deconvoluted projections onto biological knowledge networks, corrected for biases and inconsistencies. Thus, they serve as a rational basis for unsupervised and systematic comparison between different physiological conditions.
Applications in the fields of Precision Medicine, Clinics, Molecular Diagnostics, Pharmacogenomics and Agrigenomics. BioInfoMiner works with a variety of organisms of all Kingdoms.
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Seven Bridges & e-NIOS Partnership to Break the Biomarker Bottleneck
BioInfoMiner Genomics Interpretation platform
Streamlined analysis of raw VCF files and variant prioritization
e-NIOS offers fully integrated solutions for Next Generation Sequencing and Microarrays data analysis and interpretation. Customized state-of-the-art workflows are coupled with BioInfoMiner interpretation analysis for biomarker discovery and target prioritization:
