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ISMB 2014 Online Proceedings available at: http://bioinformatics.oxfordjournals.org/content/30/12.toc
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See you next year in Dublin,
Congratulations to all the ISMB 2014 Award Winners
The Intelligent Systems for Molecular Biology (ISMB) conference brings together computational biology researchers of every career stage from around the world. Hosted by the International Society for Computational Biology (ISCB), ISMB has grown over 22 years to become the world's largest bioinformatics/computational biology conference.
ISMB
ISMB attracts top international scientists in the life sciences and offers a strong scientific program and the broadest scope of any international bioinformatics/computational biology. Topics of interest include sequence analysis, evolution and phylogeny, comparative genomics, protein structure, molecular and supramolecular dynamics, molecular evolution, gene regulation and transcriptomics, RNA biology, proteomics, systems biology, ontologies, databases and data integration, text mining and information extraction, and human health.
In addition, join us prior to ISMB on July 11 & 12 to participate in the Special Interest Group Meetings, Satellite Meetings,Student Council Symposium and Tutorials.
Attend ISMB July 13-15, 2014 to present your research, learn about the latest developments in the field, network with colleagues, and help shape the future of computational biology and bioinformatics!
2014 ISCB Overton Prize AwardDana Pe'er
Department of Biological Sciences and Systems Biology
Columbia University
New York, United Stateswebsite: http://www.c2b2.columbia.edu/danapeerlab/html/
Presentation Title: A multidimensional single cell approach to understand cellular behavior
Presentation Time: Monday July 14, 4:45 pm - 5:45 pm
Abstract
High dimensional single cell technologies are on the rise, rapidly increasing in accuracy and throughput. These offer computational biology both a challenge and an opportunity. We will discuss a number of computational approaches to this data type and demonstrate a number of biological applications, including: (1) Using density estimation to characterize cellular signal processing in T-cell activation. (2) New clustering and dimensionality reduction approaches to map heterogeneity between cells; with an application to characterizing tumor heterogeneity in Acute Myeloid Leukemia. (3) An algorithm to order cells according to their developmental maturity and its use to identify novel progenitor B-cell sub-populations.
Biography
Dana Pe'er is an associate professor in the Departments of Biological Sciences and Systems Biology. Our team develops computational methods that integrate diverse high-throughput data to provide a holistic, systems-level view of molecular networks. Currently we have two key focuses: developing computational methods to interpret single cell data and understand cellular heterogeneity; Modeling how genetic and epigenetic variation alters regulatory network function and subsequently phenotype in health and disease. This path has led us to explore how systems biology approaches can be used to personalize cancer care. Dana is recipient of the Burroughs Wellcome Fund Career Award, NIH Directors New Innovator Award, NSF CAREER award, Stand Up To Cancer Innovative Research Grant and a Packard Fellow in Science and Engineering.