Natali Gulbahce
University of California, San Francisco
52 Papers
89 Citations
Natali Gulbahce is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Genome & Genomics. The author has an hindex of 23, co-authored 49 publications. Previous affiliations of Natali Gulbahce include Northeastern University & California Institute for Quantitative Biosciences.
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Papers
Network Medicine: A Network-Based Approach to Human Disease
TL;DR: Advances in this direction are essential for identifying new disease genes, for uncovering the biological significance of disease-associated mutations identified by genome-wide association studies and full-genome sequencing, and for identifying drug targets and biomarkers for complex diseases.
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Extensive sequencing of seven human genomes to characterize benchmark reference materials
Justin M. Zook,David Catoe,Jennifer McDaniel,Lindsay K. Vang,Noah Spies,Noah Spies,Arend Sidow,Ziming Weng,Yuling Liu,Christopher E. Mason,Noah Alexander,Elizabeth Henaff,Alexa B. R. McIntyre,Dhruva Chandramohan,Feng Chen,Erich Jaeger,Ali Moshrefi,Khoa Pham,William Stedman,Tiffany Y. Liang,Michael Saghbini,Zeljko Dzakula,Alex Hastie,Han Cao,Gintaras Deikus,Eric E. Schadt,Robert Sebra,Ali Bashir,R Truty,Christopher C. Chang,Natali Gulbahce,Keyan Zhao,Srinka Ghosh,Fiona Hyland,Yutao Fu,Mark Chaisson,Chunlin Xiao,Jonathan Trow,Stephen T. Sherry,Alexander Wait Zaranek,Madeleine Ball,Jason Bobe,Preston W. Estep,George M. Church,Patrick Marks,Sofia Kyriazopoulou-Panagiotopoulou,Grace X.Y. Zheng,Michael Schnall-Levin,Heather Ordonez,Patrice A Mudivarti,Kristina Giorda,Ying Sheng,Karoline Bjarnesdatter Rypdal,Marc L. Salit,Marc L. Salit +54 more
TL;DR: A large, diverse set of sequencing data for seven human genomes is described; five are current or candidate NIST Reference Materials and two Personal Genome Project trios, one of Ashkenazim Jewish ancestry and one of Chinese ancestry are described.
Global landscape of HIV-human protein complexes
Stefanie Jäger,Peter Cimermancic,Peter Cimermancic,Natali Gulbahce,Natali Gulbahce,Jeffrey R. Johnson,Jeffrey R. Johnson,Jeffrey R. Johnson,Kathryn E. McGovern,Kathryn E. McGovern,Starlynn Clarke,Michael Shales,Michael Shales,Gaelle Mercenne,Lars Pache,Kathy H. Li,Kathy H. Li,Hilda Hernandez,Hilda Hernandez,Gwendolyn M. Jang,Gwendolyn M. Jang,Shoshannah L. Roth,Eyal Akiva,Eyal Akiva,John M. Marlett,Melanie L. Stephens,Iván D'Orso,Iván D'Orso,Jason D Fernandes,Marie E. Fahey,Marie E. Fahey,Cathal Mahon,Cathal Mahon,Anthony J. O’Donoghue,Aleksandar Todorovic,John H. Morris,David Maltby,Tom Alber,Gerard Cagney,Frederic D. Bushman,John A. T. Young,Sumit K. Chanda,Wesley I. Sundquist,Tanja Kortemme,Tanja Kortemme,Ryan D. Hernandez,Ryan D. Hernandez,Charles S. Craik,Charles S. Craik,Alma L. Burlingame,Alma L. Burlingame,Andrej Sali,Alan D. Frankel,Alan D. Frankel,Nevan J. Krogan +54 more
TL;DR: The use of affinity tagging and purification mass spectrometry is reported to determine systematically the physical interactions of all 18 HIV-1 proteins and polyproteins with host proteins in two different human cell lines (HEK293 and Jurkat).
Extensive sequencing of seven human genomes to characterize benchmark reference materials
Justin M. Zook,David Catoe,Jennifer McDaniel,Lindsay K. Vang,Noah Spies,Arend Sidow,Ziming Weng,Yuling Liu,Christopher E. Mason,Noah Alexander,Dhruva Chandramohan,Elizabeth Henaff,Feng Chen,Erich Jaeger,Ali Moshrefi,Khoa Pham,William Stedman,Tiffany Y. Liang,Michael Saghbini,Zeljko Dzakula,Alex Hastie,Han Cao,Gintaras Deikus,Eric E. Schadt,Robert Sebra,Ali Bashir,R Truty,Christopher C. Chang,Natali Gulbahce,Keyan Zhao,Srinka Ghosh,Fiona Hyland,Yutao Fu,Mark Chaisson,Jonathan Trow,Chunlin Xiao,Stephen T. Sherry,Alexander Wait Zaranek,Madeleine Ball,Jason Bobe,Preston W. Estep,George M. Church,Patrick Marks,Sofia Kyriazopoulou-Panagiotopoulou,Grace X.Y. Zheng,Michael Schnall-Levin,Heather Ordonez,Patrice A Mudivarti,Kristina Giorda,Marc L. Salit +49 more
TL;DR: A large, diverse set of sequencing data for seven human genomes is described; five are current or candidate NIST Reference Materials and two Personal Genome Project trios, one of Ashkenazim Jewish ancestry and one of Chinese ancestry are described.
Network-based methods for human disease gene prediction
TL;DR: Recent, state of the art, network-based methods used for prioritizing disease genes as well as unraveling the molecular basis of human diseases are reviewed.