Evan S Snitkin

Summary

Affiliation: Boston University
Country: USA

Publications

  1. pmc Comparative assessment of performance and genome dependence among phylogenetic profiling methods
    Evan S Snitkin
    Bioinformatics Graduate Program, Boston University, Boston, USA
    BMC Bioinformatics 7:420. 2006
  2. pmc Model-driven analysis of experimentally determined growth phenotypes for 465 yeast gene deletion mutants under 16 different conditions
    Evan S Snitkin
    Bioinformatics Graduate Program, Boston University, Boston, MA 02215, USA
    Genome Biol 9:R140. 2008
  3. ncbi request reprint Optimality criteria for the prediction of metabolic fluxes in yeast mutants
    Evan S Snitkin
    Graduate Program in Bioinformatics, Boston University, 44 Cummington St, Boston, Massachusetts 02215, USA
    Genome Inform 20:123-34. 2008
  4. pmc Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network
    Bolan Linghu
    Bioinformatics Program, Boston University, 24 Cummington Street, Boston, MA 02215, USA
    Genome Biol 10:R91. 2009
  5. pmc High-precision high-coverage functional inference from integrated data sources
    Bolan Linghu
    Bioinformatics Graduate Program, Boston University, Boston, MA, 02215, USA
    BMC Bioinformatics 9:119. 2008
  6. pmc Epistatic interaction maps relative to multiple metabolic phenotypes
    Evan S Snitkin
    Program in Bioinformatics, Boston University, Boston, Massachusetts, United States of America
    PLoS Genet 7:e1001294. 2011
  7. pmc Towards the identification of essential genes using targeted genome sequencing and comparative analysis
    Adam M Gustafson
    Bioinformatics Graduate Program, Boston University, Boston, MA 02215 USA
    BMC Genomics 7:265. 2006
  8. pmc Metabolic network model of a human oral pathogen
    Varun Mazumdar
    Boston University, Bioinformatics Program, Boston, MA 02215, USA
    J Bacteriol 191:74-90. 2009
  9. pmc VisANT: an integrative framework for networks in systems biology
    Zhenjun Hu
    Bioinformatics Program, Boston University, 24 Cummington Street, Boston, MA 02115, USA
    Brief Bioinform 9:317-25. 2008

Detail Information

Publications9

  1. pmc Comparative assessment of performance and genome dependence among phylogenetic profiling methods
    Evan S Snitkin
    Bioinformatics Graduate Program, Boston University, Boston, USA
    BMC Bioinformatics 7:420. 2006
    ..Here we explore the application of phylogenetic profiling, a method that exploits the evolutionary co-occurrence of genes in the assignment of functional linkages, to eukaryotic genomes...
  2. pmc Model-driven analysis of experimentally determined growth phenotypes for 465 yeast gene deletion mutants under 16 different conditions
    Evan S Snitkin
    Bioinformatics Graduate Program, Boston University, Boston, MA 02215, USA
    Genome Biol 9:R140. 2008
    ..Integration of high-throughput experimental assays and genome-scale computational methods is likely to produce insight otherwise unreachable, but specific examples of such integration have only begun to be explored...
  3. ncbi request reprint Optimality criteria for the prediction of metabolic fluxes in yeast mutants
    Evan S Snitkin
    Graduate Program in Bioinformatics, Boston University, 44 Cummington St, Boston, Massachusetts 02215, USA
    Genome Inform 20:123-34. 2008
    ..This demonstrates that assessment of models at the level of flux predictions is a critical step in assessing the biological validity of different models and optimization criteria...
  4. pmc Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network
    Bolan Linghu
    Bioinformatics Program, Boston University, 24 Cummington Street, Boston, MA 02215, USA
    Genome Biol 10:R91. 2009
    ..Many of these disease-disease associations are supported by epidemiology, but with no previous genetic basis. Such associations can drive novel hypotheses on molecular mechanisms of diseases and therapies...
  5. pmc High-precision high-coverage functional inference from integrated data sources
    Bolan Linghu
    Bioinformatics Graduate Program, Boston University, Boston, MA, 02215, USA
    BMC Bioinformatics 9:119. 2008
    ....
  6. pmc Epistatic interaction maps relative to multiple metabolic phenotypes
    Evan S Snitkin
    Program in Bioinformatics, Boston University, Boston, Massachusetts, United States of America
    PLoS Genet 7:e1001294. 2011
    ..The approaches and results reported could influence future efforts in understanding metabolic diseases and the role of biochemical regulation in the cell...
  7. pmc Towards the identification of essential genes using targeted genome sequencing and comparative analysis
    Adam M Gustafson
    Bioinformatics Graduate Program, Boston University, Boston, MA 02215 USA
    BMC Genomics 7:265. 2006
    ....
  8. pmc Metabolic network model of a human oral pathogen
    Varun Mazumdar
    Boston University, Bioinformatics Program, Boston, MA 02215, USA
    J Bacteriol 191:74-90. 2009
    ..The current model, which is amenable to further experimental testing and refinements, could prove useful in evaluating the oral microbiome dynamics and in the development of novel biomedical applications...
  9. pmc VisANT: an integrative framework for networks in systems biology
    Zhenjun Hu
    Bioinformatics Program, Boston University, 24 Cummington Street, Boston, MA 02115, USA
    Brief Bioinform 9:317-25. 2008
    ..bu.edu) which integrates, mines and displays hierarchical information. Challenges to integrating modeling (discrete or continuous) and simulation capabilities into such visual mining software are briefly discussed...