Genetics and Genomics Commons^™

Iloop - A Web Application For Two-Channel Microarray Interwoven Loop Design, Mehdi Pirooznia, Ping Gong, Jack Y. Yang, Mary Qu Yang, Edward J. Perkins, Youping Deng

Faculty Publications

Microarray technology is widely applied to address complex scientific questions. However, there remain fundamental issues on how to design experiments to ensure that the resulting data enables robust statistical analysis. Interwoven loop design has several advantages over other designs. However it suffers in the complexity of design. We have implemented an online web application which allows users to find optimal loop designs for two-color microarray experiments. Given a number of conditions (such as treatments or time points) and replicates, the application will find the best possible design of the experiment and output experimental parameters. It is freely available from http://mcbc.usm.edu/iloop …

Batch Blast Extractor: An Automated Blastx Parser Application, Mehdi Pirooznia, Edward J. Perkins, Youping Deng

Faculty Publications

Motivation

BLAST programs are very efficient in finding similarities for sequences. However for large datasets such as ESTs, manual extraction of the information from the batch BLAST output is needed. This can be time consuming, insufficient, and inaccurate. Therefore implementation of a parser application would be extremely useful in extracting information from BLAST outputs.

Results

We have developed a java application, Batch Blast Extractor, with a user friendly graphical interface to extract information from BLAST output. The application generates a tab delimited text file that can be easily imported into any statistical package such as Excel or SPSS for further …

A Comparative Study Of Different Machine Learning Methods On Microarray Gene Expression Data, Mehdi Pirooznia, Jack Y. Yang, Mary Qu Yang, Youping Deng

Faculty Publications

Background

Several classification and feature selection methods have been studied for the identification of differentially expressed genes in microarray data. Classification methods such as SVM, RBF Neural Nets, MLP Neural Nets, Bayesian, Decision Tree and Random Forrest methods have been used in recent studies. The accuracy of these methods has been calculated with validation methods such as v-fold validation. However there is lack of comparison between these methods to find a better framework for classification, clustering and analysis of microarray gene expression results.

Results

In this study, we compared the efficiency of the classification methods including; SVM, RBF Neural Nets, …

Transcriptome Profiling Of Saccharomyces Cerevisiae Mutants Lacking C2h2 Zinc Finger Proteins, Jinghe Mao, Tanwir Habib, Ming Shenwu, Baobin Kang, Wilbur Allen, Lashonda Robertson, Jack Y. Yang, Youping Deng

Faculty Publications

Background

The budding yeast Saccharomyces cerevisiae is a eukaryotic organism with extensive genetic redundancy. Large-scale gene deletion analysis has shown that over 80% of the ~6200 predicted genes are nonessential and that the functions of 30% of all ORFs remain unclassified, implying that yeast cells can tolerate deletion of a substantial number of individual genes. For example, a class of zinc finger proteins containing C2H2 zinc fingers in tandem arrays of two or three is predicted to be transcription factors; however, seven of the thirty-one predicted genes of this class are nonessential, and their functions are poorly understood. In this …

Transcriptomic Analysis Of Rdx And Tnt Interactive Sublethal Effects In The Earthworm Eisenia Fetida, Ping Gong, Xin Guan, Laura S. Anouye, Youping Deng, Mehdi Pirooznia, Edward J. Perkins

Faculty Publications

Background

Explosive compounds such as TNT and RDX are recalcitrant contaminants often found co-existing in the environment. In order to understand the joint effects of TNT and RDX on earthworms, an important ecological and bioindicator species at the molecular level, we sampled worms (Eisenia fetida) exposed singly or jointly to TNT (50 mg/kg soil) and RDX (30 mg/kg soil) for 28 days and profiled gene expression in an interwoven loop designed microarray experiment using a 4k-cDNA array. Lethality, growth and reproductive endpoints were measured.

Results

Sublethal doses of TNT and RDX had no significant effects on the survival …

Analysis And Functional Annotation Of Expressed Sequence Tags From The Fall Armyworm Spodoptera Frugiperda, Youping Deng, Yinghua Dong, Venkata Thodima, Rollie J. Clem, A. Lorena Passareli

Faculty Publications

Background

Little is known about the genome sequences of lepidopteran insects, although this group of insects has been studied extensively in the fields of endocrinology, development, immunity, and pathogen-host interactions. In addition, cell lines derived from Spodoptera frugiperda and other lepidopteran insects are routinely used for baculovirus foreign gene expression. This study reports the results of an expressed sequence tag (EST) sequencing project in cells from the lepidopteran insect S. frugiperda, the fall armyworm.

Results

We have constructed an EST database using two cDNA libraries from the S. frugiperda-derived cell line, SF-21. The database consists of 2,367 ESTs …