Applying statistical technique and experimental design methodology to optimize experimental results of an automated high throughput DNA sequencer

The development of an experiment design for an automated high throughput DNA sequencer and discusses the findings and results obtained by applying a 2^(5-1) factorial design. The best set of run conditions determined by the factorial design experiment can be used to improve the performance of the in...

Full description

Saved in:
Bibliographic Details
Main Author: Han, Stanley Tong Jee.
Other Authors: Kwoh, Chee Keong
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/2648
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
id sg-ntu-dr.10356-2648
record_format dspace
spelling sg-ntu-dr.10356-26482023-03-04T00:31:35Z Applying statistical technique and experimental design methodology to optimize experimental results of an automated high throughput DNA sequencer Han, Stanley Tong Jee. Kwoh, Chee Keong School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences The development of an experiment design for an automated high throughput DNA sequencer and discusses the findings and results obtained by applying a 2^(5-1) factorial design. The best set of run conditions determined by the factorial design experiment can be used to improve the performance of the instrument. Master of Science (Bioinformatics) 2008-09-17T09:07:02Z 2008-09-17T09:07:02Z 2004 2004 Thesis http://hdl.handle.net/10356/2648 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
spellingShingle DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Han, Stanley Tong Jee.
Applying statistical technique and experimental design methodology to optimize experimental results of an automated high throughput DNA sequencer
description The development of an experiment design for an automated high throughput DNA sequencer and discusses the findings and results obtained by applying a 2^(5-1) factorial design. The best set of run conditions determined by the factorial design experiment can be used to improve the performance of the instrument.
author2 Kwoh, Chee Keong
author_facet Kwoh, Chee Keong
Han, Stanley Tong Jee.
format Theses and Dissertations
author Han, Stanley Tong Jee.
author_sort Han, Stanley Tong Jee.
title Applying statistical technique and experimental design methodology to optimize experimental results of an automated high throughput DNA sequencer
title_short Applying statistical technique and experimental design methodology to optimize experimental results of an automated high throughput DNA sequencer
title_full Applying statistical technique and experimental design methodology to optimize experimental results of an automated high throughput DNA sequencer
title_fullStr Applying statistical technique and experimental design methodology to optimize experimental results of an automated high throughput DNA sequencer
title_full_unstemmed Applying statistical technique and experimental design methodology to optimize experimental results of an automated high throughput DNA sequencer
title_sort applying statistical technique and experimental design methodology to optimize experimental results of an automated high throughput dna sequencer
publishDate 2008
url http://hdl.handle.net/10356/2648
_version_ 1759854512844046336