It has become increasingly clear that the mammalian genome encoded numerous long noncoding RNA (lncRNA) genes. Our research program continues to push the forefront in understanding long noncoding RNAs (lncRNAs) from identifying and mapping thousands of lncRNA loci -- to developing numerous mutant lncRNA mouse models demonstrating the important impact of lncRNA loci in development and disease -- to dissecting the molecular modalities and mechanisms of lncRNAs in transcriptional and epigenetic regulation. Central to our approach is to bridge the computational and experimental sciences to identify functional long noncoding RNAs. This combinatorial and multi-faceted approach is critical to advance our understanding of how lncRNAs influence cell fate, transcriptional regulation and nuclear architecture. Underscoring the importance of this approach many of the lncRNAs we study are found to be implicated in human disease.
BCHM 4631 - Statistical and Computational Analysis of the Human Genome
Primary Instructor
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Spring 2020 / Spring 2021 / Spring 2022 / Spring 2023
This lab course covers fundamental statistical and computational approaches to large scale data. Students will learn the unix command line to: access public human genome data, learn what statistics apply to which types of data and apply them to study specific regions of the human genome involved in development and disease. This lab course will cover fundamental aspects of Virtual computing, Container analysis pipelines (e.g. NextFlow, GItHub) in an intuitive and practical learning framework. Same as BCHM 5631.
BCHM 5631 - Statistical and Computational Analysis of the Human Genome
Primary Instructor
-
Spring 2020 / Spring 2021 / Spring 2022 / Spring 2023
This lab course covers fundamental statistical and computational approaches to large scale data. Students will learn the unix command line to: access public human genome data, learn what statistics apply to which types of data and apply them to study specific regions of the human genome involved in development and disease. This lab course will cover fundamental aspects of Virtual computing, Container analysis pipelines (e.g. NextFlow, GitHub) in an intuitive and practical learning framework. Same as BCHM 4631.
CHEM 5781 - Advanced General Biochemistry 2
Primary Instructor
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Spring 2018 / Spring 2019
Lect. Detailed consideration of contemporary topics in biochemistry, including protein structure (primary, secondary, tertiary, and quaternary), methods of structure determination and prediction, protein folding (kinetics, thermodynamics, denaturation, and renaturation), and protein dynamics (internal motions and methods of analysis). Formerly CHEM 5781.
MCDB 6000 - Introduction to Laboratory Methods
Primary Instructor
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Fall 2023
Introduces methodology and techniques used in biological research. Designed as a tutorial between a few students and one faculty member. Students are expected to read original research papers, discuss findings, and to plan and execute experiments in selected areas. May be repeated up to 15 total credit hours.
