GENOmics, Sequencing-based Typing, EpidemioLogy, Linkage, and Antimicrobial Resistance Tool
WHO WE ARE
GENO-STELLARTM is an NIH/NIAID-funded project conducted by the Antibacterial Resistance Leadership Group (ARLG) with guidance from a scientific leadership team. The project team consists of members from the Duke Clinical Research Institute in collaboration with the University of Texas Health Science Center at Houston School of Public Health and software development assistance from the Renaissance Computing Institute at University of North Carolina, Chapel Hill. See GENO-STELLARTM team members.
WHAT WE DO
The GENO-STELLARTM team integrates genomic, microbiological and clinical data from ARLG studies to create a well-curated knowledge base that forms the basis of predictive models. The models are then used within an innovative tool (GENOmics, Sequencing-based Typing, EpidemioLogy, Linkage, and Antimicrobial Resistance Tool) to provide actionable insights into a user's data by running a comparative analysis against the real-world data in our knowledge base.
OUR KNOWLEDGE BASE
The GENO-STELLARTM knowledge base currently comprises data from the ARLG CRACKLE-2 study. In the future, we hope to expand the knowledge base to include other organisms collected from the ARLG MDRO network including other Enterobacterales species, Acinetobacter baumannii and Pseudomonas aeruginosa, as well as emerging genomic technologies.
HOW TO USE
The GENO-STELLARTM tool analyzes whole genome sequencing (WGS) data from Klebsiella pneumoniae sensu stricto. The system requires bacterial genome sequencing data (FASTA, OR FA OR FNA). We have published a pipeline that can be utilized to generate the assembly fasta. Additional details on tested pipelines can be found in GENO-STELLARTM’s User Help & Guide. Once uploaded, users can evaluate data against our knowledge base and generate an interactive report for actionable insights. For additional documentation on how to use the tool, see GENO-STELLARTM’s User Help & Guide.
If you have a question or would like assistance using the GENO-STELLARTM website, please contact us at arlg-genostellar@duke.edu.
GENO-STELLARTM TEAM
Our team includes:
DUKE CLINICAL RESEARCH INSTITUTE (DCRI)
DCRI as the ARLG Leadership and Operations Center (LOC) is responsible for facilitating and coordinating the development of GENO-STELLARTM by engaging thought leaders and developing the processes, tools, and infrastructure required to design and operationalize GENO-STELLARTM.
THE UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT HOUSTON SCHOOL OF PUBLIC HEALTH (UTH)
UTH is responsible for the GENO-STELLARTM scientific strategy and implementation. These efforts include - incorporating cutting-edge sequencing technologies, genomic analysis pipelines, predictive analysis models, and data visualization for the GENO-STELLARTM tool.
Other Aknowledgements
The GENO-STELLARTM team acknowledges the efforts of DS Digital Consulting and Jeff Waller and Darius Bost (RENCI – Renaissance Computing Institute at the University of North Carolina, Chapel Hill) for assistance with the initial construction of the website and subsequent release of the application, respectively.
For more information, please visit GENO-STELLARTM’s User Help & Guide.
Center for Infectious Diseases, UTHealth School of Public Health at Houston, Houston, TX, USA; Center for Antimicrobial Resistance and Microbial Genomics, Division of Pediatrics, McGovern Medical School, UTHealth, Houston, TX, USA
Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA
Center for Infectious Diseases Research, Houston Methodist, Houston TX, USA
Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, USA
Division of Infectious Diseases, University of North Carolina, Chapel Hill, NC, USA
Department of Biostatistics and the Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, MA, USA
Departments of Medicine, Pharmacology, Molecular Biology and Microbiology, Biochemistry, and Proteomics and Bioinformatics, Case Western Research University School of Medicine, Cleveland, OH, USA; CWRU-Cleveland VAMC Center for Antimicrobial Resistance and Epidemiology, Cleveland, OH, USA
Department of Genomic Medicine, The University of Texas MD Anderson Cancer