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Halachev, Konstantin

EpiGRAPHregression: A toolkit for (epi-)genomic correlation analysis and prediction of quantitative attributes

Universität des Saarlandes, September, 2006

Five years ago, the human genome sequence was published, an important milestone towards understanding human biology.
However, basic cell processes cannot be explained by the genome sequence alone. Instead, further layers of control such
as the epigenome will be important for significant advances towards better understanding of normal and disease-related

A new research field in computational biology is currently emerging that is concerned with the analysis of functional
information beyond the human genome sequence. Our goal is to provide biologists with means to navigate the large
amounts of epigenetic data and with tools to screen these data for biologically interesting associations. We developed
a statistical learning methodology that facilitates mapping of epigenetic data against the human genome, identifies
areas of over- and underrepresentation, and finds significant correlations with DNA-related attributes. We implemented
this methodology in a software toolkit called EpiGRAPHregression.

EpiGRAPHregression is a prototype of a genome analysis tool that enables the user to analyze
relationships between many attributes, and it provides a quick test whether a newly analyzed attribute can be
efficiently predicted from already known attributes. Thereby, EpiGRAPHregression may
significantly speed up the analysis of new types of genomic and epigenomic data.

Complutational Biology, Epigenetics, Software development
Download File(s):
Lengauer, Thomas
Lenhof, Hans-Peter
Bock, Christoph
Max-Planck-Institut für Informatik
Computational Biology and Applied Algorithmics
MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort

BibTeX Entry:
AUTHOR = {Halachev, Konstantin},
TITLE = {EpiGRAPHregression: A toolkit for (epi-)genomic correlation analysis and prediction of quantitative attributes},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2006},
TYPE = {Master's thesis}
MONTH = {September},

Entry last modified by Uwe Brahm, 06/04/2007
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Konstantin Halachev
11/29/2006 03:47:02 PM

Uwe Brahm
Konstantin Halachev
Konstantin Halachev

Edit Dates
06/04/2007 20:42:57
11/29/2006 03:50:28 PM
11/29/2006 03:47:03 PM