Dvir Netanely
  • Bioinformatics
  • Cancer Genomics
  • Unsupervised Machine Learning and Big Data Analysis 
  • Software Design & Development
Email: dnetanely at tau.ac.il
Address: School of Computer Science
Tel Aviv University
Tel Aviv 69978, Israel

Cancer Genomics

  • PROMO (PROfiler of Multi-Omics data)


1.      Induction in myeloid leukemic cells of genes that are expressed in different normal tissues.

Lotem J, Benjamin H, Netanely D, Domany E, Sachs L.

Proc Natl Acad Sci U S A. 2004 Nov 9;101(45):16022-7. Epub 2004 Oct 25.

2.      Network analysis of protein structures identifies functional residues.

Amitai G, Shemesh A, Sitbon E, Shklar M, Netanely D, Venger I, Pietrokovski S.

J Mol Biol. 2004 Dec 3;344(4):1135-46.

3.      Human cancers overexpress genes that are specific to a variety of normal human tissues.

Lotem J, Netanely D, Domany E, Sachs L.

Proc Natl Acad Sci U S A. 2005 Dec 20;102(51):18556-61. Epub 2005 Dec 8

4.      Age-dependent spatial memory loss can be partially restored by immune activation.

Ron-Harel N, Segev Y, Lewitus GM, Cardon M, Ziv Y, Netanely D, Jacob-Hirsch J, Amariglio N, Rechavi G, Domany E, Schwartz M.

Rejuvenation Res. 2008 Oct;11(5):903-13.

5.      The effect of simulated microgravity on human mesenchymal stem cells cultured in an osteogenic differentiation system: a bioinformatics study.

Sheyn D, Pelled G, Netanely D, Domany E, Gazit D.

Tissue Eng Part A. 2010 Nov;16(11):3403-12.  

6.      Transcription Factor/microRNA Axis Blocks Melanoma Invasion Program by miR-211 Targeting NUAK1.

Bell RE, Khaled M, Netanely D, Schubert S, Golan T, Buxbaum A, Janas MM, Postolsky B, Goldberg MS, Shamir R, Levy C.

J Invest Dermatol. 2013 Aug 9. doi: 10.1038/jid.2013.340. 

7.      MicroRNAs of the RPE are essential for RPE differentiation and photoreceptor maturation.

Ohana R, Weiman-Kelman B, Raviv S, Tamm E, Pasmanik-Chor M, Rinon A, Netanely D, Shamir R, Salomon AS, Ashery-Padan R.

Development. 2015 Jul 15;142(14):2487-98. doi: 10.1242/dev.121533.

PMID: 26062936 

8.      Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroups.

Netanely D, Avraham A, Ben-Baruch A, Evron E, Shamir R.

Breast Cancer Res. BioMed Central; 2016;18:74. 

9.      PROMO: An interactive tool for analyzing clinically-labeled multi-omic cancer datasets

Netanely D, Stern N, Laufer I, Shamir R.

BMC Bioinformatics. BioMed Central; 2019;20:732.

10.   Melanoma-Secreted Lysosomes Trigger Monocyte-Derived Dendritic Cell Apoptosis and Limit Cancer Immunotherapy.

Santana-Magal N, Farhat-Younis L, Gutwillig A, Gleiberman A, Rasoulouniriana D, Tal L, Netanely D, Shamir R, Blau R, Feinmesser M, Zlotnik O, Gutman H, Linde IL, Reticker-Flynn NE, Rider P, Carmi Y.

Cancer Res. 2020 May 15;80(10):1942-1956. doi: 10.1158/0008-5472.CAN-19-2944.

PMID: 32127354

11.   Classification of node-positive melanomas into prognostic subgroups using keratin, immune, and melanogenesis expression patterns.

Netanely D, Leibou S, Parikh R, Stern N, Vaknine H, Brenner R, Amar S, Factor RH, Perluk T, Frand J, Nizri E, Hershkovitz D, Zemser-Werner V, Levy C, Shamir R.

Oncogene. 2021 Feb 9. doi: 10.1038/s41388-021-01665-0. PMID: 33564068