Knowledge of the hallmark networks of cancer has been key to interpreting the molecular heterogeneity seen within and across tumors. NDEx, the Network Data Exchange (www.ndexbio.org), is an online commons where scientists can upload, share, and publicly distribute molecular networks and pathway models. We are currently two years into a three-year grant from the National Cancer Institute (U24 CA184427A), during which time we have created the NDEx open-source platform; released NDEx as a public website; and begun to link NDEx to applications such as Cytoscape. Having built this initial system, our goals for the next funding period are to rapidly develop NDEx network content and communities and the means by which these resources impact cancer research and treatment. In particular, we will (1) Connect NDEx networks to next-generation cancer genome analysis; (2) Enable the direct publishing of interactive networks on journal websites; (3) Develop hallmark cancer pathway content via social organization and automation; and (4) Scale the NDEx framework to support a growing community of users and analysis tools. Through these aims, the emphasis of the NDEx Project transitions from core infrastructure to genome analysis workflows, cancer-relevant network content, publishing, and community building. These developments address a strong and immediate need in cancer research for a cyberinfrastructure that can analyze genome-scale information in the context of molecular networks.
NDEx (www.ndexbio.org) is an online commons in which biological networks can be shared, published and used by cancer researchers. Informatics applications for analysis and visualization can use NDEx as a hub to exchange networks, facilitating modular workflows. NDEx is a step towards new forms of scientific publication and collaboration in which networks bearing data, hypotheses, and findings flow easily between scientists.
Zhang, Wei; Ma, Jianzhu; Ideker, Trey (2018) Classifying tumors by supervised network propagation. Bioinformatics 34:i484-i493 |
Auer, Florian; Hammoud, Zaynab; Ishkin, Alexandr et al. (2018) ndexr-an R package to interface with the network data exchange. Bioinformatics 34:716-717 |
Zhang, Wei; Bojorquez-Gomez, Ana; Velez, Daniel Ortiz et al. (2018) A global transcriptional network connecting noncoding mutations to changes in tumor gene expression. Nat Genet 50:613-620 |
Huang, Justin K; Jia, Tongqiu; Carlin, Daniel E et al. (2018) pyNBS: a Python implementation for network-based stratification of tumor mutations. Bioinformatics 34:2859-2861 |
Bui, Nam; Huang, Justin K; Bojorquez-Gomez, Ana et al. (2018) Disruption of NSD1 in Head and Neck Cancer Promotes Favorable Chemotherapeutic Responses Linked to Hypomethylation. Mol Cancer Ther 17:1585-1594 |
Huang, Justin K; Carlin, Daniel E; Yu, Michael Ku et al. (2018) Systematic Evaluation of Molecular Networks for Discovery of Disease Genes. Cell Syst 6:484-495.e5 |
Marty, Rachel; Kaabinejadian, Saghar; Rossell, David et al. (2017) MHC-I Genotype Restricts the Oncogenic Mutational Landscape. Cell 171:1272-1283.e15 |
Carter, Hannah; Marty, Rachel; Hofree, Matan et al. (2017) Interaction Landscape of Inherited Polymorphisms with Somatic Events in Cancer. Cancer Discov 7:410-423 |
Pratt, Dexter; Chen, Jing; Pillich, Rudolf et al. (2017) NDEx 2.0: A Clearinghouse for Research on Cancer Pathways. Cancer Res 77:e58-e61 |
Hofree, Matan; Carter, Hannah; Kreisberg, Jason F et al. (2016) Challenges in identifying cancer genes by analysis of exome sequencing data. Nat Commun 7:12096 |
Showing the most recent 10 out of 14 publications