Obtaining High-Accuracy Consensus Sequences via Flossing

Information

  • Research Project
  • 9621146
  • ApplicationId
    9621146
  • Core Project Number
    R43HG010308
  • Full Project Number
    1R43HG010308-01
  • Serial Number
    010308
  • FOA Number
    PA-17-302
  • Sub Project Id
  • Project Start Date
    8/17/2018 - 6 years ago
  • Project End Date
    7/31/2019 - 5 years ago
  • Program Officer Name
    SMITH, MICHAEL
  • Budget Start Date
    8/17/2018 - 6 years ago
  • Budget End Date
    7/31/2019 - 5 years ago
  • Fiscal Year
    2018
  • Support Year
    01
  • Suffix
  • Award Notice Date
    8/17/2018 - 6 years ago

Obtaining High-Accuracy Consensus Sequences via Flossing

Project Summary While general DNA sequencing is becoming a standard laboratory technique, no technology to date has been able to combine the features of high-accuracy (>99.9%) and long-reads (10s to 100s of kilobases), an absolute necessity to broadly transition DNA sequencing into a practice for genomic and precision medicine with diagnostic applications. While single-molecule sequences (SMS) approaches have emerged as very promising toward overcoming read-length limitations posed by next generation sequencing (NGS) technologies, it is unfortunately commonplace for these SMS technologies to yield error rates that exceed 4%, and higher accuracy is needed to obtain medically-relevant sensitivity/specificity metrics. During this program, Electronic BioSciences (EBS) proposes to demonstrate high-accuracy (>99.9%) SMS via electronic strand ?flossing,? without using processive enzymes, which will lay the foundation for the eventual development of the first high-accuracy, long- read SMS system. Here, EBS will demonstrate high-accuracy, single-molecule consensus sequence calling using iterative reads on individual DNA strands. The accomplishments made during the program will enable exciting progress within the sequencing field, including fundamental investigations into genome assembly, sampling profiling, general biological studies (e.g., telomer length, microsatellite sequencing, etc.), and eventually clinical diagnostics, feats that are otherwise challenging to perform with currently available technology. As a result, this work will help improve broad-scale biodiversity and metagenomic studies, clinical diagnostics, and population care.

IC Name
NATIONAL HUMAN GENOME RESEARCH INSTITUTE
  • Activity
    R43
  • Administering IC
    HG
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    277130
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    172
  • Ed Inst. Type
  • Funding ICs
    NHGRI:277130\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    ELECTRONIC BIOSCIENCES, INC.
  • Organization Department
  • Organization DUNS
    129852864
  • Organization City
    SAN DIEGO
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    921214206
  • Organization District
    UNITED STATES