Elisabetta Manduchi


Address
Computational Biology and Informatics Laboratory
University of Pennsylvania
1428 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104-6021

Contact
phone: (215) 573-4408
fax:   (215) 573-3111
email: manduchi@upenn.edu



Background
Current research interests
Publications and Preprints


Background

I got my undergraduate degree in Mathematics in Italy at the University of Rome I  and my PhD in Mathematics in 1994 at the University of Maryland in College Park. My dissertation, directed by Prof. David Rohrlich, was in the field of Algebraic Number Theory and Algebraic Geometry (here is a link to my "math genealogy").  From 1994 to 1996 I held a postdoctoral position as Lecturer in Mathematics in the Department of Mathematics at the University of Pennsylvania and from 1996 to 1998 I was Visiting Assistant Professor in the Department of Mathematics at Haverford College.  In 1998 I was introduced, via a collaboration, to the then emerging field of Bioinformatics and I started transitioning to this field. I have been at the Computational Biology and Informatics Laboratory (CBIL) within the Penn Center for Bioinformatics (PCBI) since July 1998, first as a post-doc and, as of January 2001, as Research Project Manager.


Current research interests

I work on the analysis and management of high-throughput biological data, including development of methods, algorithms, computational tools, functional genomics databases and web resources at CBIL. The projects which I have been involved with include: Beta Cell Genomics (Project Manager), RAD and GUS, PaGE, and Significance Testing for Direct  Identity-by-descent mapping (STeDI). Moreover, I have been collaborating for over a decade with Dr. Peter Davies' group at Upenn on analyses of high-throughput datasets relative to Cardiovascular Biology. More recently I have collaborated with Dr. Greg Grant bioinformatics group at ITMAT (Upenn) on methods and code to pre-process and analyze RNA-Seq data.


Publications and Preprints

Mathematics

Computational Biology/Bioinformatics