Bioinformatics

  • Amass Server

    Investigator(s): Valentin Dinu (Arizona State University)

    Dinu Translational Bioininformatics lab (dinulab.org) would like to announce the recent release of Amass Server, a web-accessible database server that can be used to visualize and explore protein sequence features as they relate to structural f

  • Biomarker-Based Radiation Dosimetry Project

    Investigator(s): Valentin Dinu (Arizona State University), Garrick Wallstrom, Lee Cheatam (Arizona State University), Kris Gillis (Arizona State University), Mitch Magee (Arizona State University), Jay Park (Arizona State University), Mike Gaskin (Arizona State University), Mike Fiacco (Arizona State University), Josh LaBaer (Arizona State University)

    The main objective is to develop a prototype system capable of processing thousands of blood samples per day for gene expression analysis to identify the exposure to radiation.

  • Managing and analyzing large genomics datasets

    Investigator(s): Valentin Dinu (Arizona State University), David Graig (Translational Genomics Research Institute), Jonathan Keats (Translational Genomics Research Institute), Kim Bussey (Translational Genomics Research Institute), Leaf Versaga (Mayo Clinic)

    Multiple collaboration projects on informatics projects focused on managing and analyzing large genomics datasets, particularly from next generation genomics sequencing.

  • Unraveling the Biology of Desmoplastic Small Round Cell Tumors

    Investigator(s): Valentin Dinu (Arizona State University), Dr. Pooja Hingorani
    Sponsor(s): 
    Phoenix Children’s Hospital

    Comprehensive approach using whole genome DNASeq, exome DNASeq and RNAseq to identify genomic biomarkers associated with Desmoplastic small round cell tumor (DSRCT) aimed at understanding the biology and identify relevant molecular therapeutic targets.

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Bioinformatics

Bioinformatics focuses on the development and application of computational tools for the analysis of biomedical data (such as genomic and proteomic information) as well as the study of biological systems. Bioinformatics applications include algorithms, databases and modeling of biological phenomena.

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