Hendrix Lab

Computational Biology at Oregon State



The Hendrix Lab at Oregon State University employs a broad range of computational approaches, from machine learning to data mining, to investigate questions concerning genomics and gene regulatory systems. We seek to use computational biology and bioinformatics to uncover new mechanisms of gene regulation, as well as validate known biology. We develop motif-finding algorithms and pipelines to understand how promoters and regulatory elements operate, as well as creating new approaches for the analysis of deep-sequencing data to increase knowledge of the principles underlying transcription initiation, transcriptional gene silencing, post-transcriptional gene silencing and Polymerase stalling/pausing.

One major objective of our lab includes furthering the understanding of the structure, function and mechanisms of action of noncoding RNAs, both large and small. The past decade has seen the discovery of numerous non-coding RNAs whose functions are largely unknown. We aim to discover new non-coding RNAs and gain insight into the roles of these molecules in gene regulation by developing novel computational approaches for the integration of structural predictions, genome-wide sequence analysis, and deep sequencing data.

As part of both the Department of Biochemistry and Biophysics in the College of Sciences and the School for Electrical Engineering and Computer Science in the College of Engineering, the Hendrix Lab seeks to combine molecular mechanisms of genome regulation and state of the art computational techniques to uncover new biology.

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