Misook Ha doctoral convocation was held on May 23, proceeded by Vikram Agarwal undergraduate convocation on May 22. Misook will work on computational and statistical analysis of gene expression and chromatin data in polyploids. Vikram graduated with several prestigious awards, including a predoctoral fellowship award from the NSF. He will attend the graduate school at MIT in Fall 2009. Congratulations!
The third-floor lunch party attracted over 40 students, postdocs, and staff members from the Chen lab, Pierce-Shimomura lab, Sullivan lab, Trent lab, and Whiteley lab, all housed in the third floor of the Neural and Molecular Sciences (NMS) Building.
Misook Ha graduated in December 2009 with a Ph.D. in Cellular and Molecular Biology (Bioinformatics and Computational Biology track). She will work as a postdoctoral fellow in Computational Biology on elucidating the mechanisms for expression evolution in Arabidopsis
Circadian Rhythms and Hybrid Vigor - Hybrid plants, like corn, grow bigger and better than their parents because many of their genes for photosynthesis and starch metabolism are more active during the day, report researchers from The University of Texas at Austin in a new study published in the journal Nature.
The annual Cotton Fiber Genomics project meeting was held in Austin. The project was funded by the National Science Foundation and focused on "Genetic and Functional Genomic Analysis of Early Events in Cotton Fiber Development". The attendees of the meeting include: PI: Chen Lab (David Pang, Yuki Guan, Misook Ha, Vikram Agarwal, UT-Austin) Co-PI: Triplett Lab (He Jim Kim, Doug Hinchliffe, USDA-ARS/UNO) Co-PI: David Stelly (Shivapriya Manchali, Texas A&M) Co-PI: Peggy Thaxton (Mississippi
Positions are available for motivated scientists to test gene expression and epigenetic changes in plant hybrids and polyploids with a research focus on elucidating molecular mechanisms for hybrid vigor and seed development in Arabidopsis or fiber cell development in cotton. Candidates should have a Ph.D. in Plant Biology, Genetics, Computational Biology or
AUSTIN, Texas, May 31, 2017 — With prices down and weather patterns unpredictable, these are tough times for America’s cotton farmers, but new research led by Z. Jeffrey Chen at The University of Texas at Austin might offer a break for the industry. He and a team have taken the first step toward a new way of breeding heartier, more productive cotton through a process called epigenetic modification.