Z
Zhiao Shi
Researcher at Baylor College of Medicine
Publications - Ā 43
Citations - Ā 9843
Zhiao Shi is an academic researcher from Baylor College of Medicine. The author has contributed to research in topics: Proteogenomics & Proteomics. The author has an hindex of 27, co-authored 41 publications receiving 6563 citations. Previous affiliations of Zhiao Shi include University of Tennessee & University Of Tennessee System.
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WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs.
TL;DR: In the 2019 update, WebGestalt supports 12 organisms, 342 gene identifiers and 155 175 functional categories, as well as user-uploaded functional databases and has completely redesigned result visualizations and user interfaces to improve user-friendliness and to provide multiple types of interactive and publication-ready figures.
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WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013
TL;DR: By integrating functional categories derived from centrally and publicly curated databases as well as computational analyses, WebGestalt has significantly increased the coverage of functional categories in various biological contexts, leading to a total of 78 612 functional categories.
Journal ArticleDOI
Proteogenomic characterization of human colon and rectal cancer
Bing Zhang,Jing Wang,Xiaojing Wang,Jing Zhu,Qi Liu,Zhiao Shi,Matthew C. Chambers,Lisa J. Zimmerman,Kent Shaddox,Sangtae Kim,Sherri R. Davies,Sean Wang,Pei Wang,Christopher R. Kinsinger,Robert Rivers,Henry Rodriguez,R. Reid Townsend,Matthew J. Ellis,Steven A. Carr,Steven A. Carr,David L. Tabb,Robert J. Coffey,Robbert J.C. Slebos,Daniel C. Liebler,Michael A. Gillette,Karl R. Klauser,Eric Kuhn,D. R. Mani,Philipp Mertins,Karen A. Ketchum,Amanda G. Paulovich,Jeffrey R. Whiteaker,Nathan Edwards,Peter B. McGarvey,Subha Madhavan,Daniel W. Chan,Akhilesh Pandey,Ie Ming Shih,Hui Zhang,Zhen Zhang,Heng Zhu,Gordon Whiteley,Steven J. Skates,Forest M. White,Douglas A. Levine,Emily S. Boja,Tara Hiltke,Mehdi Mesri,Kenna M. Shaw,Stephen E. Stein,David Fenyƶ,Tao Liu,Jason E. McDermott,Samuel H. Payne,Karin D. Rodland,Richard D. Smith,Paul A. Rudnick,Michael Snyder,Yingming Zhao,Xian Chen,David F. Ransohoff,Andrew N. Hoofnagle,Melinda E. Sanders,Yue Wang,Li Ding +64 more
TL;DR: Integrated proteogenomic analysis provides functional context to interpret genomic abnormalities and affords a new paradigm for understanding cancer biology.
Journal ArticleDOI
WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit
TL;DR: Gene Set Enrichment Analysis and Network Topology-based Analysis have been added to WebGestalt 2017, providing complementary approaches to the interpretation of high-throughput omics data.
Journal ArticleDOI
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer
Hui Zhang,Tao Liu,Zhen Zhang,Samuel H. Payne,Bai Zhang,Jason E. McDermott,Jian-Ying Zhou,Vladislav A. Petyuk,Li Chen,Debjit Ray,Shisheng Sun,Feng Yang,Lijun Chen,Jing Wang,Punit Shah,Seong Won Cha,Paul Aiyetan,Sunghee Woo,Yuan Tian,Marina A. Gritsenko,Therese R. W. Clauss,Caitlin H. Choi,Matthew E. Monroe,Stefani N. Thomas,Song Nie,Chaochao Wu,Ronald J. Moore,Kun-Hsing Yu,David L. Tabb,David Fenyƶ,Vineet Bafna,Yue Wang,Henry Rodriguez,Emily S. Boja,Tara Hiltke,Robert Rivers,Lori J. Sokoll,Heng Zhu,Ie Ming Shih,Leslie Cope,Akhilesh Pandey,Bing Zhang,Michael Snyder,Douglas A. Levine,Richard D. Smith,Daniel W. Chan,Karin D. Rodland,Steven A. Carr,Michael A. Gillette,Karl R. Klauser,Eric Kuhn,D. R. Mani,Philipp Mertins,Karen A. Ketchum,Ratna R. Thangudu,Shuang Cai,Mauricio Oberti,Amanda G. Paulovich,Jeffrey R. Whiteaker,Nathan Edwards,Peter B. McGarvey,Subha Madhavan,Pei Wang,Gordon Whiteley,Steven J. Skates,Forest M. White,Christopher R. Kinsinger,Mehdi Mesri,Kenna M. Shaw,Stephen E. Stein,Paul A. Rudnick,Michael Snyder,Yingming Zhao,Xian Chen,David F. Ransohoff,Andrew N. Hoofnagle,Daniel C. Liebler,Melinda E. Sanders,Zhiao Shi,Robbert J.C. Slebos,Lisa J. Zimmerman,Sherri R. Davies,Li Ding,Matthew J. Ellis,R. Reid Townsend +84 more
TL;DR: A view of how the somatic genome drives the cancer proteome and associations between protein and post-translational modification levels and clinical outcomes in HGSC is provided.