Kam Dahlquist

Professor of Biology

  • Los Angeles CA UNITED STATES

Seaver College of Science and Engineering

Contact

Media

Biography

Contact
Phone: 310.338.7697
Email: Kam.Dahlquist@lmu.edu
Office: Life Sciences Building 289

Dr. Kam Dahlquist is an Associate Professor 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, Biomathematical Modeling and Bioinformatics Laboratory. She believes that her research and teaching must be informed by and contribute to a broader social context.

Education

University of California at Santa Cruz

Ph.D.

Molecular, Cellular, and Developmental Biology

2000

Pomona College

B.A.

Biology

1993

University College

Study Abroad Program

Philosophy of Science

1991

Areas of Expertise

Bioinformatics
Genomics
Computational Biology
Research
Genetics
PCR
Lifesciences
Structural Biology
Biochemistry
Higher Education
Molecular Biology
Science

Industry Expertise

Education/Learning
Research

Accomplishments

Award

2012-04-20

Awarded the ASBMB Thematic Best Poster Award in Systems Biology, for poster presented at the American Society for Biochemistry and Molecular Biology Annual Meeting, San Diego, California.

Affiliations

  • American Society for Biochemistry and Molecular Biology
  • Open Bioinformatics Foundation
  • American Society for Cell Biology
  • International Society for Computational Biology
  • Association for Women in Science (AWIS)
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Media Appearances

Seaver Biologist Helps Solve Computational Data-Sharing Riddle

LMU Newsroom  online

2011-01-11

Want a glimpse of a key problem for biology researchers in the 21st century? Imagine the United Nations with no earphones and no translators. How would diplomats communicate?

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Open Access in action at LMU: Professor Kam Dahlquist

LMU Library News  online

2014-10-20

We are highlighting members of the LMU community, who share why open access matters to them and how they've incorporated open access into their research, instruction, and publications.

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Event Appearances

Panelist: In the Open: the Future of Open Access Publishing and Libraries; Talk: Open Access Publishing: A PUI Faculty Perspective

SCELC (Statewide California Electronic Library Consortium) Colloquium  Los Angeles, CA

2015-02-01

GRNmap and GRNsight: Open Source Software for Dynamical Systems Modeling and Visualization of Medium-Scale Gene Regulatory Networks

Fifth Annual Southern California Systems Biology Conference  Irvine, CA

2015-01-01

Brrrr--How Do Yeast Cope When It's Cold Outside? Using DNA Microarrays and Mathematical Modeling to Understand Gene Regulatory Networks in Saccharomyces cerevisiae

Chapman University  Orange, CA

2012-05-01

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Research Grants

ASBMB and NSF Travel Grant

American Society for Biochemistry and Molecular Biology

2012-04-20

Received $2,250 to present at the American Society for Biochemistry and Molecular Biology Annual Meeting, April 20-24, 2012 in San Diego, California.

Research Grant

NSF-DMS Mathematical Biology, MCB Genes and Genome Systems

2009-01-01

Collaborative Research and RUI: Stochastic Dynamic Network Models of Gene Regulation under Environmental Stress

Articles

The BioPAX community standard for pathway data sharing

Nature Genetics

2010-09-01

Biological Pathway Exchange (BioPAX) is a standard language to represent biological pathways at the molecular and cellular level and to facilitate the exchange of pathway data. The rapid growth of the volume of pathway data has spurred the development of databases and computational tools to aid interpretation; however, use of these data is hampered by the current fragmentation of pathway information across many databases with incompatible formats.

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GenMAPP 2: New Features and Resources for Pathway Analysis

BMC Bioinformatics

2007-01-01

Background: Microarray technologies have evolved rapidly, enabling biologists to quantify genome-wide levels of gene expression, alternative splicing, and sequence variations for a variety of species. Analyzing and displaying these data present a significant challenge. Pathway-based approaches for analyzing microarray data have proven useful for presenting data and for generating testable hypotheses.

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MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data

Genome Biology

2003-01-01

MAPPFinder is a tool that creates a global gene-expression profile across all areas of biology by integrating the annotations of the Gene Ontology (GO) Project with the free software package GenMAPP. The results are displayed in a searchable browser, allowing the user to rapidly identify GO terms with over-represented numbers of gene-expression changes.

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