
 |
Associate Professor of Biology, Computer Science
Ph.D. 2001 (Biochemistry), University of Washington; B.A. 1997 (Biochemistry), Florida State University.
Office Address:
| New York University |
| Department of Biology |
| Center for Genomics and Systems Biology |
| 12 Waverly Place, Room 406 |
| New York, NY 10003 |
Email:
Phone: (212) 992-9516 Fax: (212) 995-4015
List of Publications from Pubmed
List of citations from Google Scholar
Lab Homepage
|
Research
Biclustering / Transparent Probabilistic Data Integration: Grouping
genes into functionally related and putatively co-regulated clusters is
an essential first step for the inference of regulatory networks (one
could think of many reasons for doing this but network inference is a
good problem to start with). It is widely known that regulatory
relationships among genes can vary under diverse environmental
settings, and that co-expressed genes are trivially under control of
the same regulator(s). This leads to patterns of co-expression that are
valid under some, not all, observed conditions. With
such considerations in mind, we have developed cMonkey, an unsupervised
learning procedure for detecting putatively co-regulated gene clusters
by integrating diverse systems biology data including:
(1) mRNA and/or protein expression levels,
(2) cis-regulatory sequences,
and (3) functional association and physical interaction networks.
Network inference: We have also developed a methodology for deriving transcriptional regulatory interactions on a genomewide
scale, and apply the method to predict a large portion of the gene regulatory network of the archaea,
Halobacterium NRC-1. A small portion of the halobacterium learned network is shown below. The
learned network is predictive, and was used to successfully predict the global expression of Halobacterium
under novel perturbations (not part of the original training set) with
predictive power similar to that seen over the training set.
Methodological advancements over earlier work include an explicit
treatment of time such that the network model can be fit using both
steady-state measurements and heterogeneous time series simultaneously.
The method contains a novel means for learning binary logic
interactions between regulators that requires no discretization of
data.
Rosetta de novo structure prediction: methods development for extracting functional
information fro de novo structure predictions.
Recent progress in de novo structure prediction methods has resulted in methods with increased
accuracy that are applicable to greater numbers of proteins. When combined intelligently with
other structure prediction methods, de novo structure prediction can contribute to systems biology in
several ways. While still highly experimental such applications include 1) structural annotation on a genome
wide scale and 2) synergy with experimental approaches to structural genomics such as the
derivation of distance constraints from mass spectroscopy. I will describe the underlying methodologies
common to current de novo prediction methods, focusing on core concepts rather than specific implementations,
groups or methods. Possible applications of de novo structure prediction will also be reviewed. For more
information, view our latest results on 80 complete genomes including many model organisms being actively
studied at NYU. This work is being carried out in collaboration with David Baker.
Cytoscape: Cytoscape
is a computer program designed to visualize systems biology data. This
began initially as a program to map expression data onto networks and
has evolved parallel to the field to encompass several other
functionalities. We are involved in cytoscape development with a focus
on providing immersive tools that can be used to view the data created
by the HPF project (in collaboration with Iliana Avila-Campillo at the
ISB). BioNetBuilder is a tool developed by Iliana to automatically
build networks in cytoscape for any organism comprised of edges derived
from protein-protein, protein-DNA, evolutionary comparison and
metabolic/signaling pathways. For more information on Cytoscape see cytoscape.org.
Areas of Research/Interest
Systems Biology and Protein Modeling
Fellowships/Honors
Howard Hughes Medical Institute pre-doctoral Fellowship in the Biological Sciences, 1998-2001; Magna Cum Laude, Biochemistry, FSU, 1996; American Cancer Society – James Jay Fisher Fellowship, 1996; Florida Academic Scholars Award, 1993; International Baccalaureate Degree, 1993.
Publications
Dynamic microRNA gene transcription and processing during T cell development.
J Immunol (2012 Apr 1)
Kirigin FF, Lindstedt K, Sellars M, Ciofani M, Low SL, Jones L, Bell F, Pauli F, Bonneau R, Myers RM, Littman DR, Chong MM |
The Proteome Folding Project: proteome-scale prediction of structure and function.
Genome Res (2011 Nov)
Drew K, Winters P, Butterfoss GL, Berstis V, Uplinger K, Armstrong J, Riffle M, Schweighofer E, Bovermann B, Goodlett DR, Davis TN, Shasha D, Malmstrom L, Bonneau R |
Peptoid atropisomers.
J Am Chem Soc (2011 Jul 20)
Paul B, Butterfoss GL, Boswell MG, Renfrew PD, Yeung FG, Shah NH, Wolf C, Bonneau R, Kirshenbaum K |
The coat morphogenetic protein SpoVID is necessary for spore encasement in Bacillus subtilis.
Mol Microbiol (2009 Nov)
Wang KH, Isidro AL, Domingues L, Eskandarian HA, McKenney PT, Drew K, Grabowski P, Chua MH, Barry SN, Guan M, Bonneau R, Henriques AO, Eichenberger P |
A protein domain-based interactome network for C. elegans early embryogenesis.
Cell (2008 Aug 8)
Boxem M, Maliga Z, Klitgord N, Li N, Lemmens I, Mana M, de Lichtervelde L, Mul JD, van de Peut D, Devos M, Simonis N, Yildirim MA, Cokol M, Kao HL, de Smet AS, Wang H, Schlaitz AL, Hao T, Milstein S, Fan C, Tipsword M, Drew K, Galli M, Rhrissorrakrai K, Drechsel D, Koller D, Roth FP, Iakoucheva LM, Dunker AK, Bonneau R, Gunsalus KC, Hill DE, Piano F, Tavernier J, van den Heuvel S, Hyman AA, Vidal M |
A predictive model for transcriptional control of physiology in a free living cell.
Cell (2007 Dec 28)
Bonneau R, Facciotti MT, Reiss DJ, Schmid AK, Pan M, Kaur A, Thorsson V, Shannon P, Johnson MH, Bare JC, Longabaugh W, Vuthoori M, Whitehead K, Madar A, Suzuki L, Mori T, Chang DE, Diruggiero J, Johnson CH, Hood L, Baliga NS |
General transcription factor specified global gene regulation in archaea.
Proc Natl Acad Sci U S A (2007 Mar 13)
Facciotti MT, Reiss DJ, Pan M, Kaur A, Vuthoori M, Bonneau R, Shannon P, Srivastava A, Donohoe SM, Hood LE, Baliga NS |
UniPep--a database for human N-linked glycosites: a resource for biomarker discovery.
Genome Biol (2006)
Zhang H, Loriaux P, Eng J, Campbell D, Keller A, Moss P, Bonneau R, Zhang N, Zhou Y, Wollscheid B, Cooke K, Yi EC, Lee H, Peskind ER, Zhang J, Smith RD, Aebersold R |
Genome sequence of Haloarcula marismortui: a halophilic archaeon from the Dead Sea.
Genome Res (2004 Nov)
Baliga NS, Bonneau R, Facciotti MT, Pan M, Glusman G, Deutsch EW, Shannon P, Chiu Y, Weng RS, Gan RR, Hung P, Date SV, Marcotte E, Hood L, Ng WV |
Email update requests to
fas.bio.computing@nyu.edu
.
|