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Title: Noise reduction methods for nucleic acid and macromolecule sequencing

Abstract

Methods, systems, and devices are disclosed for processing macromolecule sequencing data with substantial noise reduction. In one aspect, a method for reducing noise in a sequential measurement of a macromolecule comprising serial subunits includes cross-correlating multiple measured signals of a physical property of subunits of interest of the macromolecule, the multiple measured signals including the time data associated with the measurement of the signal, to remove or at least reduce signal noise that is not in the same frequency and in phase with the systematic signal contribution of the measured signals.

Inventors:
; ;
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1440025
Patent Number(s):
9,965,586
Application Number:
14/664,738
Assignee:
The Regents of the University of California (Oakland, CA); Los Alamos National Laboratory (Los Alamos, NM) LANL
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Patent
Resource Relation:
Patent File Date: 2015 Mar 20
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Schuller, Ivan K., Di Ventra, Massimiliano, and Balatsky, Alexander. Noise reduction methods for nucleic acid and macromolecule sequencing. United States: N. p., 2018. Web.
Schuller, Ivan K., Di Ventra, Massimiliano, & Balatsky, Alexander. Noise reduction methods for nucleic acid and macromolecule sequencing. United States.
Schuller, Ivan K., Di Ventra, Massimiliano, and Balatsky, Alexander. Tue . "Noise reduction methods for nucleic acid and macromolecule sequencing". United States. https://www.osti.gov/servlets/purl/1440025.
@article{osti_1440025,
title = {Noise reduction methods for nucleic acid and macromolecule sequencing},
author = {Schuller, Ivan K. and Di Ventra, Massimiliano and Balatsky, Alexander},
abstractNote = {Methods, systems, and devices are disclosed for processing macromolecule sequencing data with substantial noise reduction. In one aspect, a method for reducing noise in a sequential measurement of a macromolecule comprising serial subunits includes cross-correlating multiple measured signals of a physical property of subunits of interest of the macromolecule, the multiple measured signals including the time data associated with the measurement of the signal, to remove or at least reduce signal noise that is not in the same frequency and in phase with the systematic signal contribution of the measured signals.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {5}
}

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