Project description:Here, we report genome sequences of the two bioluminescent S. aureus strains Xen31 and Xen36, obtained from PerkinElmer (#119242 and #119243, respectively). Xen31 was derived from the parental MRSA strain ATCC33591, a clinical strain isolated at Elmhurst Hospital in New York City. Xen36 was derived from parental strain ATCC 49525, a clinical isolate from a bacteremic patient. A copy of the modified luxABCDE operon from Photorhadbus luminescenst is integrated in the chromosome of Xen31 and in a native plasmid of Xen36.
Project description:Study Design: The Cancer Alliance study was a collaboration of nine academic medical institutions in the New York city area and led by the New York Genome Center. Tumor-normal paired samples were submitted by the institutions for whole genome, whole exome and transcriptome sequencing and bioinformatics analysis at New York Genome Center. Relevant clinical histories were also collected. Raw sequence files were available to all collaborators. Variant call files were analyzed both manually by interpreters at NYGC and by IBM Watson Genome Analytics. This study was approved by a central institutional review board (IRB), Biomedical Research Alliance of New York, and by local IRBs, including Stony Brook University and Northwell Health. The study was supported in part by a grant from the IBM corporation (IBM Watson Health) to the New York Genome Center, New York Genome Center philanthropic funds and Rockefeller University grant # UL1TR000043 from the National Center for Advancing Translational Sciences (NCATS), and the National Institutes of Health (NIH) Clinical and Translational Science Award (CTSA) program. The principal investigator Robert B. Darnell MD, PhD., is a Howard Hughes Medical Institute Investigator.
Results: Pending Publication of Analysis of Study
Conclusions: Pending Publication of Analysis of Study
| EGAS00001004013 | EGA
Project description:New York City High Rise Building Premises plumbing Systems 16S rRNA sequencing
Project description:Viral respiratory infections are an important public health concern, due to their prevalence, transmissibility, and potential to cause serious disease. Disease severity is the product of several factors beyond the presence of the infectious agent, including specific host immune responses, host genetic makeup and bacterial co-infections. To understand these interactions within natural infections we designed a longitudinal cohort study actively surveilling 18 different respiratory viruses over the course of 19 months (2016-2018) in Manhattan, New York City. The cohort includes individuals related to daycare facilities, high school students and health care workers. We retrieved weekly epidemiological and clinical data and collected over 4,000 nasal swabs for molecular characterization from 214 participants. Transcriptomic data enabled the characterization of specific markers of immune response, the identification of signatures associated with symptom severity and bacterial co-infections. We created a computational resource to facilitate access to the data and visualization of analytical results.
