The Genomic Sciences Training Program (GSTP) is training the new generation of genomic scientists with strengths spanning across multiple disciplines. The training opportunities and environment we propose will enable our trainees to develop and apply new tools, derived from technological advances that are informed by cutting-edge statistical and computational approaches that functionalize diverse and large datasets. The new genomic approaches to biological and medical investigation demand scientists who are knowledgeable and skilled across several fields in effective ways that potentate new insights or inventions. Accordingly, the emergence of new tools allowing for the creation and interpretation of large-scale experimental efforts is what GSTP has focused on by the didactical interweaving of investigative approaches drawn from multiple fields (biology, genetics, physical sciences, engineering, computer science, and statistics) that were individually contoured for complementing a trainee's core disciplinary focus, yet built upon achievement and knowledge within the genomic sciences. Given the incredibly rich scientific and engineering breadth of the University of Wisconsin, GSTP was able to recruit outstanding trainees who greatly advanced mass spectroscopy, microarray technologies, computation, and bio-devices, while exploring new applications leveraging these advantages for cutting-edge investigation into proteomics, transcription, metabolomics, and genome biology. Such achievement has spawned the establishment of a significant genomics community on our campus through networking of trainees and trainers to become central hubs for groundbreaking collaborations reaching across departments, centers, and other training programs. We propose for the renewal of this program that we continue this focus with added emphasis on programmatic evaluation of GSTP, increased training in developing methods for analyzing and interpreting large datasets, and fostering of clinical applications. We request funding for training on a yearly basis: 10 predoctoral (1-3 yrs), 4 postdoctoral (1-3 yrs), and 2 short-term (0.25 yr) trainees;we will seek trainees with recent undergraduate and graduate degrees.
Modern medical practice is now relying on the fruits of genomic research for analyzing the genetic makeup of patients and their cancers. New medical treatments are increasingly being tailored to individual patients for increasing their effectivenes and lessening side-effects. We propose to train scientists who will be developing the systems and analysis that will enable greater use of genomic information for biomedical researchers and the general public when they see a doctor.
| Bhimsaria, Devesh; Rodríguez-Martínez, José A; Pan, Junkun et al. (2018) Specificity landscapes unmask submaximal binding site preferences of transcription factors. Proc Natl Acad Sci U S A 115:E10586-E10595 |
| Köksal, Ali Sinan; Beck, Kirsten; Cronin, Dylan R et al. (2018) Synthesizing Signaling Pathways from Temporal Phosphoproteomic Data. Cell Rep 24:3607-3618 |
| Millikin, Robert J; Solntsev, Stefan K; Shortreed, Michael R et al. (2018) Ultrafast Peptide Label-Free Quantification with FlashLFQ. J Proteome Res 17:386-391 |
| Dapper, Amy L; Payseur, Bret A (2018) Effects of Demographic History on the Detection of Recombination Hotspots from Linkage Disequilibrium. Mol Biol Evol 35:335-353 |
| Shen, Xing-Xing; Opulente, Dana A; Kominek, Jacek et al. (2018) Tempo and Mode of Genome Evolution in the Budding Yeast Subphylum. Cell 175:1533-1545.e20 |
| Piscopo, Nicole J; Mueller, Katherine P; Das, Amritava et al. (2018) Bioengineering Solutions for Manufacturing Challenges in CAR T Cells. Biotechnol J 13: |
| Clark, Ryan L; McGinley, Laura L; Purdy, Hugh M et al. (2018) Light-optimized growth of cyanobacterial cultures: Growth phases and productivity of biomass and secreted molecules in light-limited batch growth. Metab Eng 47:230-242 |
| Waters, Elizabeth A; Shusta, Eric V (2018) The variable lymphocyte receptor as an antibody alternative. Curr Opin Biotechnol 52:74-79 |
| Stallcop, Loren E; Álvarez-García, Yasmín R; Reyes-Ramos, Ana M et al. (2018) Razor-printed sticker microdevices for cell-based applications. Lab Chip 18:451-462 |
| Yin, John; Redovich, Jacob (2018) Kinetic Modeling of Virus Growth in Cells. Microbiol Mol Biol Rev 82: |
Showing the most recent 10 out of 184 publications
