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Results Found: 13
  • Framingham Heart Study

    Alternate Title(s)
    FHS
    Authors
    Vasan S. Ramachandran
    Emelia J. Benjamin
    L. Adrienne Cupples
    R. Curtis Ellison
    7 more author(s)...
    Description

    The Framingham Heart Study (FHS) is an ongoing cohort study dedicated to identifying common factors or characteristics that contribute to cardiovascular disease (CVD). It is a collaborative project of the National Heart, Lung and Blood Institute and Boston University. In 1948, an original cohort of 5,209 men and women between 30 and 62 years old were recruited from Framingham, MA. An Offspring Cohort...

    Subject
    Chronic Disease
    Genomics
    Health Status
    Population Characteristics
    Risk Factors
    Access Rights
    Fee Required
    Application Required
    Local Expert
    Jaime Ramos-Cejudo
    Niyati Parekh
  • NYU Dataset

    Genomic data for the testing of gold-standard networks of direct regulatory interactions in Saccharomyces cerevisiae

    Authors
    Sisi Ma
    Alexander Statnikov
    Description

    This data was created and compiled as researchers built genome-scale gold-standard networks of direct regulatory interactions in Saccharomyces cerevisiae that incorporate binding and gene knockout data. The research team used seven performance measurements to see the accuracy of eighteen statistics association-based approaches for de-novo network reverse-engineered in 13 different datasets spanning...

    Subject
    Genomics
    Access Rights
    Free to All
  • NYU Dataset

    SARS-CoV-2 Sequences from the NYU Langone Health COVID-19 Inpatient and Outpatient Population

    Authors
    Matthew T. Maurano
    Sitharam Ramaswami
    Paul Zappile
    Dacia Dimartino
    41 more author(s)...
    Description

    The dataset includes 864 genomic sequences obtained from COVID-19 patients aged 18 years old and above within the NYU Langone Health system between March 12 and May 10, 2020. Patients reflected the health system's catchment area (i.e., the greater New York City metropolitan area). rRNA-depleted total RNA was sequenced, underwent quality control, and analyzed to produce phylogenetic trees. Further...

    Subject
    COVID-19
    Genomics
    Infectious Disease
    Risk Factors
    Timeframe
    2020
    Access Rights
    Free to All
    Application Required
  • All of Us Research Hub

    Description

    With an emphasis on reaching historically underrepresented populations, the All of Us Research Program recruits adults aged 18 and above across the United States to share their health data to enable new insights into human health and research on precision medicine. Participants contribute electronic health records (EHR), survey responses, biospecimens, wearable devices (biometrics), and physical measurements....

    Subject
    COVID-19
    Electronic Health Records
    Genomics
    Health Care System
    Health Status
    Mental Health
    Population Characteristics
    Risk Factors
    Access Rights
    Application Required
    All NYU
    Local Expert
    Fred LaPolla
  • NYU Dataset

    Dataset and Code to Model Dispersal Dynamics of SARS-CoV-2 Lineages During the First Epidemic Wave in New York City

    Authors
    Simon Dellicour
    Samuel L. Hong
    Bram Vrancken
    Antoine Chaillon
    9 more author(s)...
    Description

    To construct a fixed time-scaled phylogenetic tree, the investigators combined 828 viral genome sequences obtained from COVID-19 patients at NYU Langone Health between March and May 2020 with 1,899 background sequences that were contributed to the Nextstrain repository. A total of 2,727 SARS-CoV-2 genomic sequences are available in the dataset. The supporting R code included with the dataset will produce...

    Subject
    COVID-19
    Genomics
    Infectious Disease
    Timeframe
    2020
    Access Rights
    Free to All
  • NYU Dataset

    Transposon Insertion Profiling by Sequencing (TIPseq) Utilized for LINE-1 Mapping in Single Cells

    Authors
    Wilson McKerrow
    Zuojian Tang
    Jared P. Steranka
    Lindsay M. Payer
    5 more author(s)...
    Description

    This dataset was compiled to determine a genome-wide long interspersed element-1 (LINE-1) insertion site mapping method for bulk DNA. This study has shown that transposon insertion profiling by sequencing (TIPseq) is a method that can be used for LINE-1 mapping in single cells. For the study, live GM12878 lymphoblastoid cells were obtained from Coriell Institute for Medical Research. The dataset contains...

    Subject
    Genomics
    Access Rights
    Free to All
  • Alzheimer’s Disease Neuroimaging Initiative

    Alternate Title(s)
    ADNI, ADNI1, ADNI GO, ADNI2, ADNI3
    Authors
    Michael W. Weiner
    Description

    The Alzheimer’s Disease Neuroimaging Initiative (ADNI) began in 2004 as longitudinal multicenter study to identify clinical, imaging, genetic, and biochemical biomarkers for the detection and tracking of Alzheimer’s disease (AD). Participants are recruited from and followed at 59 research sites in the United States and Canada. ADNI1 enrolled 400 subjects who were diagnosed with mild cognitive impairment...

    Subject
    Chronic Disease
    Genomics
    Mental Health
    Neuroscience
    Access Rights
    Free to All
    Application Required
    Author Approval Required
    Local Expert
    Omonigho M. Bubu
    Ricardo Osorio
  • National Alzheimer’s Coordinating Center Data

    Alternate Title(s)
    NACC
    Description

    The National Alzheimer’s Coordinating Center (NACC) was created in 1999 to facilitate research with data collected from Alzheimer's Disease Research Centers (ADRCs) across the United States. NACC oversees data collection and sharing for a number of datasets. The Uniform Data Set (UDS) contains longitudinal and standardized data collected from ADRCs since 2005. ADRC enrollment protocols vary and...

    Subject
    Chronic Disease
    Mental Health
    Neuroscience
    Access Rights
    Free to All
    Application Required
    Author Approval Required
    Local Expert
    Omonigho M. Bubu
    Ricardo Osorio
  • ENIGMA Consortium

    Alternate Title(s)
    Enhancing Neuro Imaging Genetics through Meta-Analysis Consortium
    Description

    The Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium is a global project originating from University of Southern California which unites researchers across the fields of imaging genomics, neurology, and psychiatry to understand brain structure and function. ENIGMA consists of 50 active working groups which are organized into four major research cores: Genomics, Disease, Protocol...

    Subject
    Genomics
    Mental Health
    Neuroscience
    Access Rights
    Application Required
    Local Expert
    Yuliya Yoncheva
  • NYU Dataset

    Clinical and genomic signatures of rising SARS-CoV-2 Delta breakthrough infections in New York

    Authors
    Ralf Duerr
    Dacia Dimartino
    Christian Marier
    Paul Zappile
    10 more author(s)...
    Description

    Investigators obtained high quality SARS-CoV-2 sequences from 132 vaccinated and 283 unvaccinated individuals who were seen at NYU Langone Health facilities between May 1, 2021 and August 3, 2021. Fully vaccinated individuals received either two doses of the BNT162b2 (Pfizer/BioNTech) or mRNA-1273 (Moderna) vaccines, or a single-dose of the COVID-19 Janssen vaccine. Breakthrough infections were defined...

    Subject
    COVID-19
    Genomics
    Infectious Disease
    Timeframe
    2021
    Access Rights
    Free to All
    Application Required