Genomics Commons^™

Implications Of The Plastid Genome Sequence Of Typha (Typhaceae, Poales) For Understanding Genome Evolution In Poaceae, Mary M. Guisinger, Timothy W. Chumley, Jennifer V. Kuehl, Jeffrey L. Boore, Robert K. Jansen

All Faculty Scholarship for the College of the Sciences

Plastid genomes of the grasses (Poaceae) are unusual in their organization and rates of sequence evolution. There has been a recent surge in the availability of grass plastid genome sequences, but a comprehensive comparative analysis of genome evolution has not been performed that includes any related families in the Poales. We report on the plastid genome of Typha latifolia, the first non-grass Poales sequenced to date, and we present comparisons of genome organization and sequence evolution within Poales. Our results confirm that grass plastid genomes exhibit acceleration in both genomic rearrangements and nucleotide substitutions. Poaceae have multiple structural rearrangements, including …

Web-Based, Participant-Driven Studies Yield Novel Genetic Associations For Common Traits, Nicholas Eriksson, J. Michael Macpherson, Joyce Y. Tung, Lawrence S. Hon, Brian Naughton, Serge Saxonov, Linda Avey, Anne Wojcicki, Itsik Pe'er, Joanna Mountain

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Despite the recent rapid growth in genome-wide data, much of human variation remains entirely unexplained. A significant challenge in the pursuit of the genetic basis for variation in common human traits is the efficient, coordinated collection of genotype and phenotype data. We have developed a novel research framework that facilitates the parallel study of a wide assortment of traits within a single cohort. The approach takes advantage of the interactivity of the Web both to gather data and to present genetic information to research participants, while taking care to correct for the population structure inherent to this study design. Here …

Density Based Pruning For Identification Of Differentially Expressed Genes From Microarray Data, Jianjun Hu, J. Xu

Faculty Publications

Motivation

Identification of differentially expressed genes from microarray datasets is one of the most important analyses for microarray data mining. Popular algorithms such as statistical t-test rank genes based on a single statistics. The false positive rate of these methods can be improved by considering other features of differentially expressed genes.

Results

We proposed a pattern recognition strategy for identifying differentially expressed genes. Genes are mapped to a two dimension feature space composed of average difference of gene expression and average expression levels. A density based pruning algorithm (DB Pruning) is developed to screen out potential differentially expressed genes usually …

Building The Genomic Base-Layer Of The Oral “Omic” World, Forsyth Metagenomic Support Consortium, Jacques Izard

Department of Food Science and Technology: Faculty Publications

With the shift of molecular technologies directed toward the understanding of greater biological complexity of the oral cavity, a knowledge gap was created by the lack of genomic data from the diverse oral microorganisms. To facilitate and enable the interpretation of metagenomic, transcriptomic, and proteomic data generated or soon to be generated from oral biofilms, we are providing reference genomic information from phylogenetically diverse oral bacterial isolates. This work, initiated by the National Institute of Dental and Craniofacial Research as an isolated effort, is now part of the Human Microbiome Project. The goal of this effort is the public release …

Insights Into Genome Functional Organisation Through The Analysis Of Interaction Networks, Andre Masella

Theses and Dissertations (Comprehensive)

Using computational techniques to identify orthology and operon structure, it is possible to find functional interactions between genes, which, together, define the genetic interactome. These large networks contain information about the relationships between phenotypes in organisms as genes responsible for related abilities are often co-regulated and reasserting of these genes can be detected in the operon structure. However, these networks are too large to analyse by hand In order to practically analyse the networks, a computational tool, gisql, was developed and, using this tool, the connectivity patterns in the genetic interactome can be analysed to understand high-level organisation of …