Stefan Wuchty

Summary

Affiliation: National Institutes of Health
Country: USA

Publications

  1. ncbi Shared molecular strategies of the malaria parasite P. falciparum and the human virus HIV-1
    Stefan Wuchty
    National Center of Biotechnology Information, National Institutes of Health, Bethesda, MD 20892, USA
    Mol Cell Proteomics 10:M111.009035. 2011
  2. ncbi Viral organization of human proteins
    Stefan Wuchty
    National Center of Biotechnology Information, National Institutes of Health, Bethesda, Maryland, USA
    PLoS ONE 5:e11796. 2010
  3. ncbi Computational prediction of host-parasite protein interactions between P. falciparum and H. sapiens
    Stefan Wuchty
    National Center for Biotechnology Information, National Institutes of Health, Bethesda, Maryland, United States of America
    PLoS ONE 6:e26960. 2011
  4. ncbi Prediction of Associations between microRNAs and Gene Expression in Glioma Biology
    Stefan Wuchty
    Neuro Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
    PLoS ONE 6:e14681. 2011
  5. ncbi Modeling information flow in biological networks
    Yoo Ah Kim
    National Center for Biotechnology Information, NLM, NIH, 8600 Rockville Pike, Bethesda, MD 20894, USA
    Phys Biol 8:035012. 2011
  6. ncbi Identifying causal genes and dysregulated pathways in complex diseases
    Yoo Ah Kim
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
    PLoS Comput Biol 7:e1001095. 2011
  7. ncbi Symmetric Epistasis Estimation (SEE) and its application to dissecting interaction map of Plasmodium falciparum
    Yang Huang
    National Center for Biotechnology Information, NLM, NIH, 8600 Rockville Pike, Building 38A, Bethesda, MD 20894, USA
    Mol Biosyst 8:1544-52. 2012
  8. ncbi A comprehensive Plasmodium falciparum protein interaction map reveals a distinct architecture of a core interactome
    Stefan Wuchty
    Northwestern Institute of Complexity, Northwestern University, Evanston, IL 60201, USA
    Proteomics 9:1841-9. 2009
  9. ncbi FastMEDUSA: a parallelized tool to infer gene regulatory networks
    Serdar Bozdag
    Neuro Oncology Branch, National Cancer Institute, National Institute of Neurological Diseases and Stroke, Bethesda, MD 20892, USA
    Bioinformatics 26:1792-3. 2010
  10. ncbi Graph theoretical approach to study eQTL: a case study of Plasmodium falciparum
    Yang Huang
    National Center for Biotechnology Information, NLM, NIH, Bethesda, MD 20894, USA
    Bioinformatics 25:i15-20. 2009

Collaborators

Detail Information

Publications12

  1. ncbi Shared molecular strategies of the malaria parasite P. falciparum and the human virus HIV-1
    Stefan Wuchty
    National Center of Biotechnology Information, National Institutes of Health, Bethesda, MD 20892, USA
    Mol Cell Proteomics 10:M111.009035. 2011
    ..Such an identification of shared molecular strategies by the virus HIV-1 and the eukaryotic intracellular pathogen P. falciparum may allow us to illuminate new avenues of disease intervention...
  2. ncbi Viral organization of human proteins
    Stefan Wuchty
    National Center of Biotechnology Information, National Institutes of Health, Bethesda, Maryland, USA
    PLoS ONE 5:e11796. 2010
    ....
  3. ncbi Computational prediction of host-parasite protein interactions between P. falciparum and H. sapiens
    Stefan Wuchty
    National Center for Biotechnology Information, National Institutes of Health, Bethesda, Maryland, United States of America
    PLoS ONE 6:e26960. 2011
    ....
  4. ncbi Prediction of Associations between microRNAs and Gene Expression in Glioma Biology
    Stefan Wuchty
    Neuro Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
    PLoS ONE 6:e14681. 2011
    ....
  5. ncbi Modeling information flow in biological networks
    Yoo Ah Kim
    National Center for Biotechnology Information, NLM, NIH, 8600 Rockville Pike, Bethesda, MD 20894, USA
    Phys Biol 8:035012. 2011
    ....
  6. ncbi Identifying causal genes and dysregulated pathways in complex diseases
    Yoo Ah Kim
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
    PLoS Comput Biol 7:e1001095. 2011
    ..While copy number alterations and gene expression data of glioblastoma patients provided opportunities to test our approach, our method can be applied to any disease system where genetic variations play a fundamental causal role...
  7. ncbi Symmetric Epistasis Estimation (SEE) and its application to dissecting interaction map of Plasmodium falciparum
    Yang Huang
    National Center for Biotechnology Information, NLM, NIH, 8600 Rockville Pike, Building 38A, Bethesda, MD 20894, USA
    Mol Biosyst 8:1544-52. 2012
    ..falciparum, potentially reflecting host-pathogen interactions or drug-induced selection...
  8. ncbi A comprehensive Plasmodium falciparum protein interaction map reveals a distinct architecture of a core interactome
    Stefan Wuchty
    Northwestern Institute of Complexity, Northwestern University, Evanston, IL 60201, USA
    Proteomics 9:1841-9. 2009
    ..As such, the inference of potential protein interactions and their analysis contributes to our understanding of the parasite, indicating basic pathways and processes as unique targets for therapeutic intervention...
  9. ncbi FastMEDUSA: a parallelized tool to infer gene regulatory networks
    Serdar Bozdag
    Neuro Oncology Branch, National Cancer Institute, National Institute of Neurological Diseases and Stroke, Bethesda, MD 20892, USA
    Bioinformatics 26:1792-3. 2010
    ..AVAILABILITY: Source code and documentation of FastMEDUSA are available at https://wiki.nci.nih.gov/display/NOBbioinf/FastMEDUSA..
  10. ncbi Graph theoretical approach to study eQTL: a case study of Plasmodium falciparum
    Yang Huang
    National Center for Biotechnology Information, NLM, NIH, Bethesda, MD 20894, USA
    Bioinformatics 25:i15-20. 2009
    ..Furthermore, GeD allows us to uncover additional eQTLs with lower FDR, providing an important complement to traditional eQTL analysis methods...
  11. ncbi Gene pathways and subnetworks distinguish between major glioma subtypes and elucidate potential underlying biology
    Stefan Wuchty
    Neuro Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, MD 20894, USA
    J Biomed Inform 43:945-52. 2010
    ..In the absence of enrichment of genes that are genomically altered we assume that genetic changes largely exert an indirect rather than direct regulatory influence on a number of tumor-defining regulatory networks...
  12. ncbi CNAReporter: a GenePattern pipeline for the generation of clinical reports of genomic alterations
    Yuri Kotliarov
    Neuro Oncology Branch, National Cancer Institute, National Institutes of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
    BMC Med Genomics 3:11. 2010
    ....