CCG & GtL Center Mission

Mission

Genome Technology Center (DOE, since 1987)
Harvard-Lipper Center for Computational Genetics (CCG since 1997)
Harvard/MIT Genomes-to-Life Center (DOE GtL since 2002)
Center of Excellence in Integration of Genomics & Informatics (PhRMA CEIGI, 2002-2005)
National Program of Excellence in Biomedical Computing Center (NIH NPEBC 2002-2004)
National Centers for Systems Biology (NIGMS since 2003) Center for Modular Biology.
Molecular and Genomic Imaging Center (NHGRI CEGS since May 2004)
National Centers for Biomedical Computing (NIH NCBC  proposed 2004)
Synthetic Biology Project (SBP, Based on DARPA MiniGenome 2001)
Personal Genome Project (PGP, Launch 2004)
Cancer Genome Characterization Center at Harvard Medical School (CGCC, since 2006)

The mission of our group is to develop broadly distributed, integrated models for biomedical, biofuel & ecological systems. To make these systems-biology models useful & accurate, we develop technologies suitable for comprehensive yet cost-effective systems measures & synthesis of designed biosystems. In particular, we focus on replication of four systems -- mammalian stem cells, cell-cycle metabolism, microbial ecosystems (e.g. ocean circadian cycles & biofilms), & "in vitro" mini-genomes. Each of these has advantages for developing "systems analysis" tools & each represent existing clinical or commercial practice ripe for improvements (e.g. respectively, stem cell transplants, metabolic engineering, environmental bioremediation, & molecular biology "kits").

Although in some ways broad & interdisciplinary, in other ways the integration of systems-analyses & "-omics" technologies represents a specialized discipline. It requires a focused & dynamic tool-set & attitude. Examples of technologies include proteomic mass spectrometry, microarrays (for whole -genome RNA, mutant growth rates, & DNA-protein interactions), polymerase colony ("polony") amplification (for RNA splicing, haplotyping, sequencing), & chemical synthesis of genes & genomes. These are integrated with each other & with relevant systems models. These models include metabolic optimization, clusters of transcription factor motifs, & 3D (& with time 4D) models of genome folding & replication.


Latest Update: 12-Jan-2007 by gmc.