基本信息
浏览量:16
职业迁徙
个人简介
Research Interests
I am most interested in the relative roles of chance and necessity in evolution. There are two major research areas in my lab.
I. Yeast as an experimental system for studying evolution.
We are using the budding yeast Saccharomyces cerevisiae and its relatives as model organisms to understand a variety of evolutionary processes, including questions about (i) mutation rate and spectrum, (ii) epistasis and fitness landscapes, (iii) gene expression evolution, (iv) expression plasticity in environmental adaptations, (v) evolutionary impacts of pleiotropy, (vi) genomic basis of adaptation, and (vii) phenotypic and fitness effects of synonymous mutations.
II. Computational evolutionary genomics.
Using evolutionary, genomic, and/or systemic approaches, we analyze publicly available data to characterize and understand pleiotropy, robustness, epistasis, gene expression noise, posttranscriptional modification, convergent evolution, positive selection, origin of new genes, and other important genetic and evolutionary phenomena. We are not limited in the study organism in this line of research, but most often analyze functional genomic data from yeasts and mammals. Projects may also involve modeling and simulation.
I also encourage students and postdoctoral fellows to develop their own projects in the general area of evolutionary genetics and genomics.
I am most interested in the relative roles of chance and necessity in evolution. There are two major research areas in my lab.
I. Yeast as an experimental system for studying evolution.
We are using the budding yeast Saccharomyces cerevisiae and its relatives as model organisms to understand a variety of evolutionary processes, including questions about (i) mutation rate and spectrum, (ii) epistasis and fitness landscapes, (iii) gene expression evolution, (iv) expression plasticity in environmental adaptations, (v) evolutionary impacts of pleiotropy, (vi) genomic basis of adaptation, and (vii) phenotypic and fitness effects of synonymous mutations.
II. Computational evolutionary genomics.
Using evolutionary, genomic, and/or systemic approaches, we analyze publicly available data to characterize and understand pleiotropy, robustness, epistasis, gene expression noise, posttranscriptional modification, convergent evolution, positive selection, origin of new genes, and other important genetic and evolutionary phenomena. We are not limited in the study organism in this line of research, but most often analyze functional genomic data from yeasts and mammals. Projects may also involve modeling and simulation.
I also encourage students and postdoctoral fellows to develop their own projects in the general area of evolutionary genetics and genomics.
研究兴趣
论文共 281 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
GENOME BIOLOGY AND EVOLUTIONno. 3 (2024)
OBSTETRICAL & GYNECOLOGICAL SURVEYno. 3 (2024): 165-166
MOLECULAR BIOLOGY AND EVOLUTIONno. 1 (2024)
Lisa Bradshaw,Julianne Vernon,Thomas Schmidt,Timothy James,Jianzhi Zhang, Hilary Archbold,Kenneth Cadigan,John P. Wolfe,Deborah Goldberg
JOURNAL OF MICROBIOLOGY & BIOLOGY EDUCATIONno. 3 (2023)
biorxiv(2023)
Nature Ecology & Evolutionno. 9 (2023): 1347-1348
bioRxiv : the preprint server for biologyno. 8 (2023)
SCIENCE ADVANCESno. 49 (2023): eadh4990-eadh4990
ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICSno. 1 (2023): 1-19
引用1浏览0引用
1
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn