Report of Recommendations to Iowa State University of Science and Technology on the Review of Selected General and Application Controls over the University's Accounts Receivable System, April 6th - May 14th 2004

State University Audit Report

Report of Recommendations to the University of Northern Iowa on a Review of Selected General and Application Controls over the Modern Executive Management Financial Information System, June 7, 2004 through July 29, 2004

State University Audit Report

Report of Recommendations to State University of Iowa on the Review of Selected General and Application Controls Over the Purchasing/Accounts Payable System, June 2 to June 27, 2003

State University Audit Report

Report of Recommendations to the University of Northern Iowa on the Review of Selected General and Application Controls Over the Modern Executive Management Financial Information, June 2 to July 17, 2003

State University Audit Report

Report of Recommendations to Iowa State University of Science and Technology on the Review of Selected General and Application Controls over the Tuition System, April 23 to May 23, 2003

State University Audit Report

Report of Recommendations to the Iowa Department of Transportation on a Review of Selected General and Application Controls Over the Contractor Pay System, April 5, 2004 through May 21, 2004

State Agency Audit Report

Pseudogenes in the ENCODE regions: consensus annotation, analysis of transcription, and evolution

Arising from either retrotransposition or genomic duplication of functional genes, pseudogenes are “genomic fossils” valuable for exploring the dynamics and evolution of genes and genomes. Pseudogene identification is an important problem in computational genomics, and is also critical for obtaining an accurate picture of a genome’s structure and function. However, no consensus computational scheme for defining and detecting pseudogenes has been developed thus far. As part of the ENCyclopedia Of DNA Elements (ENCODE) project, we have compared several distinct pseudogene annotation strategies and found that different approaches and parameters often resulted in rather distinct sets of pseudogenes. We subsequently developed a consensus approach for annotating pseudogenes (derived from protein coding genes) in the ENCODE regions, resulting in 201 pseudogenes, two-thirds of which originated from retrotransposition. A survey of orthologs for these pseudogenes in 28 vertebrate genomes showed that a significant fraction (∼80%) of the processed pseudogenes are primate-specific sequences, highlighting the increasing retrotransposition activity in primates. Analysis of sequence conservation and variation also demonstrated that most pseudogenes evolve neutrally, and processed pseudogenes appear to have lost their coding potential immediately or soon after their emergence. In order to explore the functional implication of pseudogene prevalence, we have extensively examined the transcriptional activity of the ENCODE pseudogenes. We performed systematic series of pseudogene-specific RACE analyses. These, together with complementary evidence derived from tiling microarrays and high throughput sequencing, demonstrated that at least a fifth of the 201 pseudogenes are transcribed in one or more cell lines or tissues.

Analysis of epidermis- and mesophyll-specific transcript accumulation in powdery mildew-inoculated wheat leaves.

Powdery mildew is an important disease of wheat caused by the obligate biotrophic fungus Blumeria graminis f. sp. tritici. This pathogen invades exclusively epidermal cells after penetrating directly through the cell wall. Because powdery mildew colonizes exclusively epidermal cells, it is of importance not only to identify genes which are activated, but also to monitor tissue specificity of gene activation. Acquired resistance of wheat to powdery mildew can be induced by a previous inoculation with the non-host pathogen B. graminis f. sp. hordei, the causal agent of barley powdery mildew. The establishment of the resistant state is accompanied by the activation of genes. Here we report the tissue-specific cDNA-AFLP analysis and cloning of transcripts accumulating 6 and 24 h after the resistance-inducing inoculation with B. graminis f. sp. hordei. A total of 25,000 fragments estimated to represent about 17,000 transcripts were displayed. Out of these, 141 transcripts, were found to accumulate after Bgh inoculation using microarray hybridization analysis. Forty-four accumulated predominantly in the epidermis whereas 76 transcripts accumulated mostly in mesophyll tissue.

Report of Recommendations to the Iowa Department of Administrative Services on the Review of General and Application Controls over the HRIS and Payroll Systems, May 10, 2004 through June 4, 2004

State Audit Reports

Report of Recommendations to Iowa State University of Science and Technology on the Review of Selected General and Application Controls over the University's Accounts Payable and Purchasing Systems, March 28 through April 28, 2005

State University Audit Report

Report of Recommendations to the State University of Iowa on the Review of Selected General and Application Controls over the University's Human Resources Information System, June 7, 2005-July 29, 2005

Other Audit Reports - Regent Institutions

Report of Recommendations to the Iowa Department of Transportation on Review of Selected General and Application Controls over the Accounts Payable System, July 11, 2005 to August 3, 2005

State Audit Reports

Report of the Recommendations to the Iowa Department of Workforce Development on a Review of Selected General and Application Controls Over the Unemployment Insurance System, May 1, 2006 to May 24, 2006

State Audit Reports

Measures of fit in multiple correspondence analysis of crisp and fuzzy coded data

When continuous data are coded to categorical variables, two types of coding are possible: crisp coding in the form of indicator, or dummy, variables with values either 0 or 1; or fuzzy coding where each observation is transformed to a set of "degrees of membership" between 0 and 1, using co-called membership functions. It is well known that the correspondence analysis of crisp coded data, namely multiple correspondence analysis, yields principal inertias (eigenvalues) that considerably underestimate the quality of the solution in a low-dimensional space. Since the crisp data only code the categories to which each individual case belongs, an alternative measure of fit is simply to count how well these categories are predicted by the solution. Another approach is to consider multiple correspondence analysis equivalently as the analysis of the Burt matrix (i.e., the matrix of all two-way cross-tabulations of the categorical variables), and then perform a joint correspondence analysis to fit just the off-diagonal tables of the Burt matrix - the measure of fit is then computed as the quality of explaining these tables only. The correspondence analysis of fuzzy coded data, called "fuzzy multiple correspondence analysis", suffers from the same problem, albeit attenuated. Again, one can count how many correct predictions are made of the categories which have highest degree of membership. But here one can also defuzzify the results of the analysis to obtain estimated values of the original data, and then calculate a measure of fit in the familiar percentage form, thanks to the resultant orthogonal decomposition of variance. Furthermore, if one thinks of fuzzy multiple correspondence analysis as explaining the two-way associations between variables, a fuzzy Burt matrix can be computed and the same strategy as in the crisp case can be applied to analyse the off-diagonal part of this matrix. In this paper these alternative measures of fit are defined and applied to a data set of continuous meteorological variables, which are coded crisply and fuzzily into three categories. Measuring the fit is further discussed when the data set consists of a mixture of discrete and continuous variables.