We are pleased to report that UC President Napolitano has approved the MCSB MS/PhD program! The program will start this September (2015) for students currently enrolled at UCI. This includes students who just finished the gateway program, as well as students currently enrolled in academic departments. The fully approved proposal may be viewed from the following link: MCSB 050115.
Subject to approval by the MCSB Director in conjunction with the MCSB Executive Committee, current UCI students can transfer into the MCSB program this fall (2015) via the Change of Major form process. Full program details and specific transfer requirements, including resolving financial support issues, will be posted shortly on the MSCB website.
The stand-alone MCSB M.S./Ph.D. program builds on the success of the current MCB gateway graduate program and is the fulfillment of a 2005 HHMI grant obligation. The MCB gateway program will become the “Department Option” in the MCSB M.S./Ph.D. program, which will continue to provide students with a gateway opportunity. Students will now have the option to pursue their degree directly from the MCSB program by taking the MS/Ph.D. option.
Final approval for a "stand-alone" PhD option in Mathematical, Computational, and Systems Biology is expected soon!
With this change, students who matriculate in Fall 2014 will, upon completion of their gateway year of training (in 2015), choose to continue their studies either as a member of an affiliated department, or to remain an interdisciplinary trainee. In the latter case, the student would eventually receive a Ph.D. in Mathematical, Computational, and Systems Biology, after fulfilling program requirements specifically established by the program itself. More details will be available soon!
The MCSB program is proud to announce UCI-GPS (Graduate Professional Success), a new NIH-funded program for professional development of graduate students in the biomedical sciences. UCI is the only research institution in Southern California with such a program.
UCLA is hosting a 1-day colloquium on Tuesday, October 7th 2014, on Systems Biology Analysis Methods for Genomic Data at the Center for the Health Sciences (13-105 CHS), University of California Los Angeles.
This full day event is open to the public, but space is limited. To register for this event send an email with subject line "Network Analysis"
Speakers will discuss network analysis methods widely used in systems biologic and systems genetic applications. The goal is to familiarize researchers with network methods and software for integrating genomic data sets with complex phenotype data. Participants will learn how to integrate disparate data sets (genetic variation, gene expression, complex phenotypes, gene ontology information) and use networks for identifying disease genes, pathways and key regulators. We also describe applications to DNA methylation data and the epigenetic clock software.
Steve Horvath, PhD
Professor of Human Genetics & Biostatistics
|Peter Langfelder, PhD
Department of Human Genetics
9:30am - 10:30am: Hierarchical clustering and the dynamic tree cut algorithm. Peter Langfelder
10:45am - noon: Weighted correlation network analysis. Steve Horvath
Noon - 1:30pm Break for lunch
1:30pm - 2:15pm: Consensus network analysis. Peter Langfelder
2:20pm - 3:15pm: R software tutorial for WGCNA. Steve Horvath
3:30pm - 4:15pm: Systems genetic analysis with structural equation models.Steve Horvath
4:30pm - 5:15pm: The epigenetic clock and user-friendly software. Steve Horvath
Advance notice: A week-long Network workshop will be held on the UCLA campus in the summer