A New Approach for Multi-Dimensional Signal Processing and Modelling for Signals From Gel Electrophoresis

Ebtihal H G Yousif; James Hopgood; John Thompson; Michael Davies

doi:10.1109/EUSIPCO.2016.7760335

A New Approach for Multi-Dimensional Signal Processing and Modelling for Signals From Gel Electrophoresis

Ebtihal H G Yousif, James Hopgood, John Thompson, Michael Davies

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

In this paper, a multi-channel multi-dimensional approach is investigated for modeling of signals obtained from DNA gel electrophoresis. Related applications include DNA fingerprinting and crime scene investigations. In order to improve resolution and accuracy of modeling, a novel approach is employed based on using equidistant multi-capture data frames obtained over an extended span of time. The multidimensional signal is rescaled and aligned which improves resolution, then the signal is modeled as a surface that varies with both the time index and separation size. The overall approach is tested on a number of datasets. The simulation results show that the proposed approach can be used as a starting multi-dimensional time series model for raw signals obtained from gel electrophoresis.

Original language	English
Title of host publication	European Signal Processing Conference (EUSIPCO)
DOIs	https://doi.org/10.1109/EUSIPCO.2016.7760335
Publication status	Published - 28 May 2016

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10.1109/EUSIPCO.2016.7760335

1 Finished

Novel Signal Processing Algorithms for Automated Electrophoresis Analysis
Hopgood, J.
UK-based charities
1/09/15 → 31/08/16
Project: Research

1 Conference contribution
1 Article

Multi-Snapshot Imaging for Chromatographic Peak Analysis
Hopgood, J., Connelly, M., McHoull, B. & Troy, D., 12 Apr 2018, In: IEEE Transactions on Biomedical Engineering. 66, 1, p. 119-129
Research output: Contribution to journal › Article › peer-review

Open Access
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Improved Resolution of Chromatographic Peak Analysis using Multi-Snapshot Imaging
Hopgood, J., 28 Aug 2016, European Signal Processing Conference (EUSIPCO).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cite this

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title = "A New Approach for Multi-Dimensional Signal Processing and Modelling for Signals From Gel Electrophoresis",

abstract = "In this paper, a multi-channel multi-dimensional approach is investigated for modeling of signals obtained from DNA gel electrophoresis. Related applications include DNA fingerprinting and crime scene investigations. In order to improve resolution and accuracy of modeling, a novel approach is employed based on using equidistant multi-capture data frames obtained over an extended span of time. The multidimensional signal is rescaled and aligned which improves resolution, then the signal is modeled as a surface that varies with both the time index and separation size. The overall approach is tested on a number of datasets. The simulation results show that the proposed approach can be used as a starting multi-dimensional time series model for raw signals obtained from gel electrophoresis.",

author = "Yousif, {Ebtihal H G} and James Hopgood and John Thompson and Michael Davies",

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month = may,

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doi = "10.1109/EUSIPCO.2016.7760335",

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AU - Yousif, Ebtihal H G

AU - Hopgood, James

AU - Thompson, John

AU - Davies, Michael

PY - 2016/5/28

Y1 - 2016/5/28

N2 - In this paper, a multi-channel multi-dimensional approach is investigated for modeling of signals obtained from DNA gel electrophoresis. Related applications include DNA fingerprinting and crime scene investigations. In order to improve resolution and accuracy of modeling, a novel approach is employed based on using equidistant multi-capture data frames obtained over an extended span of time. The multidimensional signal is rescaled and aligned which improves resolution, then the signal is modeled as a surface that varies with both the time index and separation size. The overall approach is tested on a number of datasets. The simulation results show that the proposed approach can be used as a starting multi-dimensional time series model for raw signals obtained from gel electrophoresis.

AB - In this paper, a multi-channel multi-dimensional approach is investigated for modeling of signals obtained from DNA gel electrophoresis. Related applications include DNA fingerprinting and crime scene investigations. In order to improve resolution and accuracy of modeling, a novel approach is employed based on using equidistant multi-capture data frames obtained over an extended span of time. The multidimensional signal is rescaled and aligned which improves resolution, then the signal is modeled as a surface that varies with both the time index and separation size. The overall approach is tested on a number of datasets. The simulation results show that the proposed approach can be used as a starting multi-dimensional time series model for raw signals obtained from gel electrophoresis.

U2 - 10.1109/EUSIPCO.2016.7760335

DO - 10.1109/EUSIPCO.2016.7760335

M3 - Conference contribution

BT - European Signal Processing Conference (EUSIPCO)

ER -

A New Approach for Multi-Dimensional Signal Processing and Modelling for Signals From Gel Electrophoresis

Abstract / Description of output

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Projects

Novel Signal Processing Algorithms for Automated Electrophoresis Analysis

Research output

Multi-Snapshot Imaging for Chromatographic Peak Analysis

Improved Resolution of Chromatographic Peak Analysis using Multi-Snapshot Imaging

Cite this