Abstract
dc:description.abstractFunctional genomics is a flourishing science enabled by recent technological breakthroughs in high-throughput instrumentation and microarray data analysis. Genotyping microarrays establish the genotypes of DNA sequences containing single nucleotide polymorphisms (SNPs), and can help biologists probe the functions of different genes and/or construct complex gene interaction networks. The enormous amount of data from these experiments makes it infeasible to perform manual processing to obtain accurate and reliable results in daily routines. Advanced algorithms as well as an integrated software toolkit are needed to help perform reliable and fast data analysis. The author developed a Matlab^{TM} based software package, called TIMDA (a Toolkit for Integrated Genotyping Microarray Data Analysis), for fully automatic, accurate and reliable genotyping microarray data analysis. The author also developed new algorithms for image processing and genotype-calling. The modular design of TIMDA allows satisfactory extensibility and maintainability. TIMDA is open source (URL: http://timda.SF.net and can be easily customized by users to meet their particular needs. The quality and reproducibility of results in image processing and genotype-calling and the ease of customization indicate that TIMDA is a useful package for genomics research.
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy in Computing Sciences - (Ph.D.)
- Discipline thesis:degree_discipline
- Computer Science
- Year
- 2006
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Zhang, Kai
- Contributors dc:contributor
-
- Frank Y. Shih
- Qun Ma
- Barry Cohen
Subjects
dc:subject × 4Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.njit.edu/dissertations/765
- OAI identifier oai:identifier
- oai:digitalcommons.njit.edu:dissertations-1820