Dr. Kam Dahlquist is an Associate Professor and the William F. McLaughlin Chair of
Biology at Loyola Marymount University. Dr. Dahlquist earned a B.A. in Biology from
Pomona College and a Ph.D. in Molecular, Cellular, and Developmental Biology from the
University of California, Santa Cruz. Dr. Dahlquist performed postdoctoral research at
the Gladstone Institute of Cardiovascular Disease at the University of California, San
Francisco, and taught for two years at Vassar College before joining the LMU faculty in
2005. In her research, Dr. Dahlquist follows an interdisciplinary approach to
understanding gene regulatory networks that involves cutting-edge techniques in genomics,
mathematical, and computational biology. This research crosses over into her teaching in
such courses as Molecular Biology of the Genome, Biological Databases, and Bioinformatics
Laboratory. She believes that her research and teaching must be informed by and
contribute to a broader social context. She has worked with various groups such as the
UCSF Science and Health Education partnership and the Association for Women in Science
(AWIS) to improve science education for all and to increase the numbers of women and
minorities in science. She believes strongly in training her students to apply ethical
standards to the conduct of scientific research.

Articles

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GenMAPP 2: New Features and Resources for Pathway Analysis (with Nathan Salomonis, Kristina Hanspers, Alexander C. Zambon, Karen Vranizan, Steven C. Lawlor, Scott W. Doniger, Josh Stuart, Bruce R. Conklin, and Alexander R. Pico), Biology Faculty Works (2007)

Background: Microarray technologies have evolved rapidly, enabling biologists to quantify genome-wide levels of gene expression,...

 

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MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data (with Scott W. Doniger, Nathan Salomonis, Karen Vranizan, Steven C. Lawlor, and Bruce R. Conklin), Biology Faculty Works (2003)

MAPPFinder is a tool that creates a global gene-expression profile across all areas of biology...

 

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Regression Approaches for Microarray Data Analysis (with Mark R. Segal and Bruce R. Conklin), Biology Faculty Works (2003)

A variety of new procedures have been devised to handle the two sample comparison (e.g.,...