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Bioinformatics

At Emmes, we realize that technology has changed the possibilities of clinical research. Advances in high-throughput laboratory testing and digital technologies enable our clients to conduct sophisticated systems biology studies in clinical trial settings, deepening knowledge of clinical outcomes.

Emmes supports your clinical research by providing a collaborative and reproducible approach to large-scale bioinformatics analysis. We help you integrate and analyze data across various high-throughput technologies, including next-generation sequencing (NGS), microarrays, mass spectrometry and others that measure “-omics” outcomes. Our capabilities empower you to simultaneously analyze genetic alterations in combination with changes of thousands of molecules (mRNAs, proteins, small molecules) in plasma, cell populations or single cells. This gives you an unprecedented view of human responses to vaccines, therapeutics or medical devices enabling biomarker discovery and paving the way to precision medicine.

About Emmes

We’ve learned that collaboration between scientists, clinicians, biostatisticians and IT experts. produces the highest quality results. That kind of thinking guides us.

To detect key patterns in your “-omics” data, we employ state-of-the-art statistical, data science, and computational methodologies including machine learning, advanced data visualization, pathways analysis, scalable cloud computing and reproducible data analysis methods.

About Emmes

To ensure timely delivery of high quality data for your study, we utilize cloud computing and automation to scale resources on demand with your study’s data processing and analysis needs. We ensure that all analytical steps are fully automated, beginning with raw data and ending with report generation. Armed with such analyses, you gain more robust and compressive assessments of treatment response on the molecular level including subject-level response heatmaps, pathway maps color-coded by treatment effect, as well as time trends of co-regulated functional modules.

Bioinformatics-Analysis-Solutions

Our best practice bioinformatics solutions include

  • Genomics (WGS, WES, targeted panels)
  • Transcriptomics (RNA-Seq, ribosomal profiling, DNA microarrays)
  • Proteomics (LC-MS/MS, iTRAQ/TMT, 2D-DIGE, and protein/peptide microarrays)
  • Metabolomics/lipidomics (LC-MS)
  • Metagenomics (WGS, 16S)

Customized-Analytical-Modules

We customize analytical modules to your project needs, such as

  • Data normalization, missing value imputation and batch effect correction
  • Data reduction methods, heatmaps, and pathway maps for visualizing key trends in highdimensional data
  • Application of multivariate data analysis and machine learning
  • Identification of functional modules and multi-omics data integration
  • Pathway enrichment analysis

Highlighted Projects

Malaria Research

The goal of this study was to assess how antibody responses against Plasmodium falciparumantigens in children change over the malaria season, and how these changes compare to those seen in adults. Serum that contained antibodies was extracted from blood and antibody responses against more than 100,000 unique peptide sequences were measured using a peptide array. Results from this study provided an unprecedented view of antibody responses against P.falciparum antigens on the protein and protein epitope level. We identified antibody markers that were indicative of the adult response as well as markers in children that were increased during peak malaria season.

Cancer-Research

Cancer Research

For the National Myelodysplastic Syndrome (MDS) study, we support targeted exon sequencing data management and analysis to identify and characterize somatic variants related to rare bone marrow diseases. We applied machine learning to differentiate between true and artifact somatic variants. We also developed an interactive variant browser application that allows dynamic sub-setting of the data with real-time updated graphical and tabular summaries.

Influenza-Research

Influenza Research

To better understand how the AS03 vaccine adjuvant enhances immune responses to flu vaccine on the molecular level, changes in thousands of white blood cell molecules were measured simultaneously. We used scalable cloud resources for analyzing two terabytes of raw data generated by transcriptomics and proteomics assays. These analyses provided evidence that AS03 administered with flu vaccine stimulated subsets of white blood cells to improve uptake and processing of antigens.

Experience

Our experience across Phase I-IV studies includes:

  • Influenza vaccine and adjuvant
  • Tularemia vaccine
  • HSV2 vaccine
  • Smallpox vaccine
  • Malaria natural infection, vaccine and challenge
  • Plague vaccine
  • CMV vaccine
  • Pertussis vaccine
  • Yellow fever vaccine
  • Tuberculosis vaccine
  • Tularemia vaccine
  • Filovirus vaccine and adjuvant
Contact Us

Bioinformatics Leaders

Johannes Goll, MS

Johannes Goll, MS

Bioinformatics Director