Bioinformatics and Software Services

Specifically designed for clients that are interested only in the results of some of the InSyBio Suite’s data analysis tools rather than in using the tools. In this case, InSyBio will receive the experimental data, conduct the analysis and return the resulting data.

Outsourcing bioinformatics/biomarker discovery services Perfectly corresponding to the needs of biological research labs willing to outsource the bioinformatics part of their biological experiments. InSyBio will provide full bioinformatics services in all the phases of the biological research project, including biomarker discovery. With this service model InSyBio is also open to collaborations with academic research labs on national or international funding research projects. Custom software company, InSyBio can provide its technical and scientific knowledge to design and develop new software tools or modules on-demand. Our fields of expertise include but are not limited to the following:

  • Computational prediction of the functionality and of the localization of every single protein of an organism using a novel methodology which has already been submitted for a patent approval in the US patent office
  • Pre-processing and analysis of microarray data to predict biomarkers by conducting differential expression analysis using advanced systems medicine techniques
  • RNA-seq data analysis using a non-coding RNA-based technique which is able to uncover non-coding RNAs from RNA-seq experiments with increased accuracy and speed up the mapping procedures of mRNA in the reference transcriptomes
  • DNA-seq data analysis using state-of-the-art statistical and computational intelligent algorithms to uncover significant mutations and polymorphisms
  • Mass spectrometry Data Analysis to predict biomarkers with InSyBio Proteomics methods
  • Biomarker Discovery combining molecular biology data and clinical information. Extraction of meaningful prognostic and diagnostic biomarkers by combining different categories of molecular biology data and clinical information
  • Advanced computational intelligence algorithms able to perform dimensionality reduction, to handle missing data effectively and extract effective prognostic and diagnostic prediction models.
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