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Ugur Dogrusoz

Researcher at Bilkent University

Publications -  67
Citations -  27880

Ugur Dogrusoz is an academic researcher from Bilkent University. The author has contributed to research in topics: BioPAX : Biological Pathways Exchange & Graph drawing. The author has an hindex of 24, co-authored 63 publications receiving 20844 citations. Previous affiliations of Ugur Dogrusoz include Memorial Sloan Kettering Cancer Center & Tom Sawyer Software.

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The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data

TL;DR: The cBio Cancer Genomics Portal significantly lowers the barriers between complex genomic data and cancer researchers who want rapid, intuitive, and high-quality access to molecular profiles and clinical attributes from large-scale cancer genomics projects and empowers researchers to translate these rich data sets into biologic insights and clinical applications.
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Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal

TL;DR: A practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics, which makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries.
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Oncogenic Signaling Pathways in The Cancer Genome Atlas

TL;DR: This work charted the detailed landscape of pathway alterations in 33 cancer types, stratified into 64 subtypes, and identified patterns of co-occurrence and mutual exclusivity.
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The Systems Biology Graphical Notation

TL;DR: The Systems Biology Graphical Notation (SBGN), a visual language developed by a community of biochemists, modelers and computer scientists, believes that it will foster efficient and accurate representation, visualization, storage, exchange and reuse of information on all kinds of biological knowledge.
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The BioPAX community standard for pathway data sharing

Emek Demir, +94 more
- 01 Sep 2010 - 
TL;DR: Thousands of interactions, organized into thousands of pathways, from many organisms are available from a growing number of databases, and this large amount of pathway data in a computable form will support visualization, analysis and biological discovery.