Hossein Khiabanian

Summary

Affiliation: Columbia University
Country: USA

Publications

  1. pmc Differences in patient age distribution between influenza A subtypes
    Hossein Khiabanian
    Department of Biomedical Informatics and Center for Computational Biology and Bioinformatics, Columbia University College of Physicians and Surgeons, New York, New York, United States of America
    PLoS ONE 4:e6832. 2009
  2. pmc Reassortment patterns in Swine influenza viruses
    Hossein Khiabanian
    Department of Biomedical Informatics and Center for Computational Biology and Bioinformatics, Columbia University College of Physicians and Surgeons, New York, New York, United States of America
    PLoS ONE 4:e7366. 2009
  3. pmc ParMap, an algorithm for the identification of small genomic insertions and deletions in nextgen sequencing data
    Hossein Khiabanian
    Department of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, NY, USA
    BMC Res Notes 3:147. 2010
  4. pmc PHF6 mutations in T-cell acute lymphoblastic leukemia
    Pieter Van Vlierberghe
    Institute for Cancer Genetics, Columbia University Medical Center, New York, New York, USA
    Nat Genet 42:338-42. 2010
  5. pmc Analysis of the chronic lymphocytic leukemia coding genome: role of NOTCH1 mutational activation
    Giulia Fabbri
    Institute for Cancer Genetics and the Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY 10032, USA
    J Exp Med 208:1389-401. 2011
  6. pmc Discovering disease associations by integrating electronic clinical data and medical literature
    Antony B Holmes
    Department of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, New York, United States of America
    PLoS ONE 6:e21132. 2011

Collaborators

  • Vladimir Trifonov
  • Feng Liu
  • Laura Pasqualucci
  • Robin Foa
  • Davide Rossi
  • Charles G Mullighan
  • Luca Laurenti
  • Raul Rabadan
  • Giulia Fabbri
  • Antony B Holmes
  • Pieter Van Vlierberghe
  • Luca Arcaini
  • Adina Grunn
  • Valter Gattei
  • Silvia Rasi
  • Gianluca Gaidano
  • Anna Guarini
  • Carol Friedman
  • David Oscier
  • Ernesto Gargiulo
  • Luigi M Larocca
  • Riccardo Dalla-Favera
  • Alexander Hawson
  • Marco Paulli
  • Jing Ma
  • Francesco Bertoni
  • Daniela Capello
  • Marco Fangazio
  • Sara Monti
  • Roberto Marasca
  • Stefania Cresta
  • Francesco Forconi
  • Jean Soulier
  • Edwin Sonneveld
  • Maria L Toribio
  • Mireia Castillo
  • Joni Van der Meulen
  • Nadine Van Roy
  • Bruce Poppe
  • Sabine Strehl
  • Jacob M Rowe
  • Rob Pieters
  • Elisabeth Paietta
  • Markus Pisecker
  • Claire Schwab
  • Christine J Harrison
  • Yves Benoit
  • Jules Meijerink
  • Xiaopan Yao
  • Anton W Langerak
  • Peter H Wiernik
  • Frank Speleman
  • Linda Zuurbier
  • Teresa Palomero
  • Jozef Gecz
  • Barbara Cauwelier
  • Tom Taghon
  • Adolfo Ferrando
  • Sara Gonzalez-Garcia
  • Carlos Cordon-Cardo
  • Barbara de Moerloose
  • Jan Philippe

Detail Information

Publications6

  1. pmc Differences in patient age distribution between influenza A subtypes
    Hossein Khiabanian
    Department of Biomedical Informatics and Center for Computational Biology and Bioinformatics, Columbia University College of Physicians and Surgeons, New York, New York, United States of America
    PLoS ONE 4:e6832. 2009
    ..Recently, a novel H1N1 virus has spread around the world. Preliminary reports suggest that this new strain causes symptomatic disease in the younger population in a similar fashion to the seasonal H1N1 strains...
  2. pmc Reassortment patterns in Swine influenza viruses
    Hossein Khiabanian
    Department of Biomedical Informatics and Center for Computational Biology and Bioinformatics, Columbia University College of Physicians and Surgeons, New York, New York, United States of America
    PLoS ONE 4:e7366. 2009
    ..Moreover, we find that one of the polymerase segments (PB1), reassorted in the strains responsible for the last two human pandemics, also reassorts frequently...
  3. pmc ParMap, an algorithm for the identification of small genomic insertions and deletions in nextgen sequencing data
    Hossein Khiabanian
    Department of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, NY, USA
    BMC Res Notes 3:147. 2010
    ..This complicates the detection of genomic variations, especially, small insertions and deletions...
  4. pmc PHF6 mutations in T-cell acute lymphoblastic leukemia
    Pieter Van Vlierberghe
    Institute for Cancer Genetics, Columbia University Medical Center, New York, New York, USA
    Nat Genet 42:338-42. 2010
    ..Overall, these results identify PHF6 as a new X-linked tumor suppressor in T-ALL and point to a strong genetic interaction between PHF6 loss and aberrant expression of TLX transcription factors in the pathogenesis of this disease...
  5. pmc Analysis of the chronic lymphocytic leukemia coding genome: role of NOTCH1 mutational activation
    Giulia Fabbri
    Institute for Cancer Genetics and the Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY 10032, USA
    J Exp Med 208:1389-401. 2011
    ..These results provide initial data on the complexity of the CLL coding genome and identify a dysregulated pathway of diagnostic and therapeutic relevance...
  6. pmc Discovering disease associations by integrating electronic clinical data and medical literature
    Antony B Holmes
    Department of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, New York, United States of America
    PLoS ONE 6:e21132. 2011
    ..In particular, we report a statistically significant association between Kawasaki disease and diagnosis of autistic disorder...