Hossein Khiabanian

Summary

Affiliation: Columbia University
Country: USA

Publications

  1. ncbi 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. ncbi 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. ncbi 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. ncbi 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. ncbi 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. ncbi 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

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

Detail Information

Publications6

  1. ncbi 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. ncbi 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. ncbi 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. ncbi 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. ncbi 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. ncbi 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...