Please join me in congratulating the following winners of the CSE Annual Undergraduate Awards:
As always, the competition for the awards was very tight and there were many deserving candidates.
The proposed project "PRUGC—Phylogenetic Reconstructions with Unequal Gene Contents" addresses the problem of reconstruction of ancestral genomes and evolutionary history of genomes that may deviate in gene content, resulting from genome rearrangements as well as gene duplications and deletions evolutionary events. It will close the gap between steadily growing number of sequenced genomes and incapability of existing phylogenetic reconstruction tools to process diverse varieties of genomes. Similarly to the previous phylogenetic reconstruction tool MGRA developed by the PI, the new PRUGC software will employ the framework of multiple breakpoint graphs that will be extended to address new algorithmic challenges arising from genomes having unequal gene contents. As some of these challenges may be hard and have no computationally feasible solutions, instead of focusing on a fixed evolutionary model and attempting to fit biological problems into it, the PI will let the model be flexible and problem-driven. In the course of PRUGC development, the PI plans to address the following particularly important biological problems (listed in the order of growing complexity): the primate-rodent-carnivore split controversy in mammalian evolution (featuring relatively small number of duplications); phylogenetic analysis of a diverse variety of yeast genomes including genomes that undergone whole genome duplications; and evolutionary problems in plant evolution rich in segmental duplications. Solutions to these problems will help to better understand the mechanisms behind chromosome evolution across variety of genomes. The reconstructed ancestral genomes will provide insights to functional significance of particular gene orders, help to rigorously estimate the rate of genome rearrangements and gene duplications/deletions in different organisms, and allow testing hypotheses about their mechanisms and influence on shaping genomic architectures. It is important to emphasize that the PRUGC software will have a wide range of applications, not limited to the aforementioned problems. Other immediate applications will arrive from a number of the PI's collaborative projects, such as analysis of rearrangements in malaria mosquito genomes (a joint project with Dr. Igor Sharakhov from Virginia Tech University). The PRUGC software will also be helpful in various phylogenomic studies within projects like "Tree of Life", "Genome 10K", and "i5k". It will be released as both a standalone open-source tool and an online web-server application readily accessible for use by biologists. The project will support research activities in the PI's research lab. In particular, it will help to prepare a new generation of researchers in bioinformatics by providing the opportunities to have hands-on experiences in both computer science and biology. One undergraduate student and two Ph.D. students will be recruited with the support of this project, and the PI will mentor these students and prepare them for building their careers in academia or industry. The PI will make every effort to help the students gain first-hand experience of biology, including short-term visits to our local, national, and international collaborators. Such experience will also help the students to develop and enhance their ability to communicate with researchers in other areas, an important skill in interdisciplinary research. The project will also offer an excellent opportunity for computer science students to learn about experimental and theoretical research in the interdisciplinary area of bioinformatics. Detailed explanation of the whole process of multiple genomes comparison will perfectly fit into a timeframe of a bioinformatics course. The PI plans to lecture this material within the bioinformatics course CSCE 555 offered for undergraduate and graduate students at the University of South Carolina. As a member of the Bioinformatics Education Alliance developing "Bioinformatics for Biologists" (B4B) textbook, the PI coordinated with the editors preparation of a new chapter module and web-based educational materials for the next edition of B4B that will expand the current chapter on genome rearrangements and illustrate their applications with a number of biological problems within the PRUGC project.The NSF CAREER program recognizes and supports the early career-development activities of those teacher-scholars who are most likely to become the academic leaders of the 21st century. CAREER awardees are selected on the basis of creative career-development plans that effectively integrate research and education within the context of the mission of their institution and department.
Classification and Detection of Proteotypic Peptides Through The Use of Hidden Markov Models and Neural Networks In traditional peptide sequencing an unknown peptide’s MSMS spectrum is used as a query to a database. This query yields a set of peptides with spectra similar to the observed spectrum. A more difficult problem is De Novo peptide sequencing, which does not depend on a database of known peptides. De Novo peptide sequencing has the problem of considering all possible peptides consistent with the observed spectrum, and ranking them according to some scoring function. Proteotypic peptides are peptides that are easily fragmented by collision induced dissociation and are easily detected by tandem mass spectrometers. In contrast, nonproteotypic peptides are unlikely to be detected. Under the proposed approach, it would be possible to improve de novo sequencing results by discounting nonproeotypic peptides since they are unlikely to be detected even though they are consistent with the observed spectrum. This would significantly improve the accuracy of the sequencing.
I want to give this talk to spread the message that games are not just a ‘kid’s toy,’ but are a unique medium that combines art and science into one artifact. These artifacts can not only entertain, but also teach us, train us and evoke new ideas that no other medium has ever been able to do.
Researchers from the University of South Carolina discovered that they could read meter signals at a 400-unit housing complex in such detail they could determine that 27 units were unoccupied. And because the meters send out data every 30 seconds, the researchers could infer some residents' daily habits by spotting sudden jumps in electricity usage. In their paper, the researchers wrote that in one unit in the complex, "the owners got up at 7 a.m., left for work at 9 a.m., and returned home around 6 p.m. on Friday."WISTV has picked up the story: WIS Investigation: students test security of utility's Automatic Meter Reading. You can watch the video online. These research results were published in a paper at the ACM Conference on Computer and Communications Security. You can read the full paper: Neighborhood Watch: Security and Privacy Analysis of Automatic Meter Reading Systems where they provide all the details of this research. Our own USC Times also covers this story in their article Is your utility meter getting personal?.
Lead researcher Wenyuan Xu, a professor in USC’s College of Engineering and Computing, says that much of the focus in the research security community right now is on the next generation of devices, the so-called “smart” meters. Utilities hope in the future they will be able to use these smart meters to match electricity flow to individual houses with overall demand, enabling much more efficient allocation of resources.The Industrial Safety and Security Source picks it up in Smart Meters Need to Get Smarter. Computerworld: Some smart electricity meters are stupid about privacy. The University main page: White Knight: USC researcher hacks for good.
Charlie is short for Child Centered Adaptive Robot for Learning Environments, designed by a USC graduate student to help kids with autism. "She is designed to promote basic communication skills," said Charlie creator Laura Boccanfuso. "Two of the most important communication skills are imitation and turn taking." Charlie is designed to be handled by kids but sometimes kids play hard, which is why she has some break away features. "We want the robot to just be sitting on a table, and allow the child to explore her, touch the eyes, touch the nose, and the hands and get to know her so she and he feels comfortable interacting with the robot," said Boccanfuso.Full story at WISTV.com. The College of Engineering coverage of this story. medGaget blog coverage. USC News coverage.