Room B416
Dept. of Genetics
Nelson Biol. Labs.
Rutgers University
604 Allison Rd.
Piscataway, NJ 08854
(732) 445-3125
FAX - (732) 445-4972 matise@biology.rutgers.edu
Tara C. Matise - Associate Professor
Computational Genetics
My area of research is purely computational in nature, I do not
perform any work in a wet lab. To carry out my research projects, I develop new analytical methods, write computer programs to implement these methods,
run computer programs written by both myself and others, and develop and
maintain web sites for dissemination of results. My time is divided between basic research and developing tools and resources for use by the research
community.
My work focuses on developing and applying tools for genome mapping. On a level above DNA sequence, there exist several types of maps, including
cytogenetic, linkage or meiotic, radiation hybrid (RH), and clone-based physical maps. One of my areas of research focuses on automating the construction of linkage and RH maps and map integration. The process of ordering markers on these two types of maps relies on statistical and
heuristical methods,
follows a stepwise algorithm, and is quite computationally intensive for large marker sets. I have written a computer program that is used for
automated large-scale linkage and radiation hybrid mapping. MULTIMAP is freely available to the genetics community and has been used in several
genome-wide mapping projects in humans and other organisms (mouse, rat, dog). The ability to rapidly and efficiently generate linkage and RH maps has
facilitated my work on research projects examining the properties of different types of maps.
In addition to building stand-alone maps, I also focus on map integration. These different types of maps are typically each created and
displayed as separate entities. Links are made between markers in common between multiple types of maps, but little effort has been made to define methods for truly integrating all the different pieces of map information into one comprehensive map. This area is becoming even more important as
the human DNA sequence becomes known. In collaboration with Dr. Peter White at Children's Hospital of Philadelphia, we have constructed
genome-wide integrated maps that can be accessed at the eGenome web site
(http://genome.chop.edu).
We are now embarking on a brand new area of research, to search for genes involved in female reproductive genetics - in other words, looking for genes that play a role in fertility. And we are also interested in statistical genetics projects searching for genes involved in other complex traits.