Research With the advent of the "post-genomics era" a major new challenge has arisen in how to extract meaningful biology from large heterogeneous data sets. Our laboratory is interested in the analysis of diverse functional genomics data to identify groups of genes that work in specific cellular and developmental processes, focusing primarily on C. elegans. For example, we have used an integrative approach to characterize gene networks that function in C. elegans early embryogenesis, based on data from different kinds of functional genomics projects such as protein-protein interactions, gene expression profiles, and phenotypic maps (Fig. 1).
We are using this kind of approach both to help interpret large-scale datasets and to generate testable hypotheses on gene function. We are applying these analyses in different systems in collaboration with other NYU Biology faculty, including C. elegans early embryogenesis (with Dr. Fabio Piano), C. elegans microRNA-target relationships (with Dr. Piano and Dr. Nikolaus Rajewsky) and C. elegans gonadogenesis (with Dr. Jane Hubbard). As part of these projects we develop web-based tools and graphical interfaces to provide the research community at large with enhanced access to and mining capabilities for functional genomic data. To facilitate a systems-level view of gene networks, we have developed a web-based network visualization tool called "N-Browse" (http://www.gnetbrowse.org) that allows researchers to browse gene neighborhoods and functional relationships in a modular way based on these integrated data. We have also developed a web-accessible database of RNA interference (RNAi) phenotypes in C. elegans, "RNAiDB" (http://www.rnai.org), which we use both to distribute data from large-scale RNAi studies and as an online notebook for ongoing high-content phenotypic analysis. In conjunction with this work, we are developing strategies to make phenotypic data more amenable to computational analysis and are developing tools to mine these data. Web Resources: ![]() Job Opportunity: An experienced Programmer/Software Engineer with expertise in Java and familiarity with relational databases is needed to join a growing team in the Gunsalus lab. The position is for lead developer of an open-source web-based network visualization tool for navigating biological interaction data, N-Browse (www.gnetbrowse.org). Development tasks will involve Java programming (incl. JSP, Swing) with database and server infrastructure design/implementation. Some familiarity with molecular biology/bioinformatics is a plus but not required. The work environment is a friendly and dynamic university research center operating on an open-lab model that combines experimental and computational approaches to functional genomics/systems biology. NYU's Center for Comparative Functional Genomics is located in state-of-the-art space on Washington Square in Greenwich Village. Salary will be commensurate with experience. Contact Dr. Kris Gunsalus (kcg1-at-nyu.edu) with a letter of intent, resume, and three references. NYU is an equal opportunity employer. Areas of Research/Interest Genome informatics and functional genomics of C. elegans. Fellowships/Honors National Academies Education Fellow in the Life Sciences, NSF ADVANCE Fellows Award, W.M. Keck Foundation Fellowship in Biology
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