P
Patti M. Sherman
Researcher at National Institutes of Health
Publications - 3
Citations - 8837
Patti M. Sherman is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Gene expression profiling & Minimum information about a microarray experiment. The author has an hindex of 3, co-authored 3 publications receiving 6769 citations.
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NCBI GEO: archive for functional genomics data sets—update
Tanya Barrett,Stephen E. Wilhite,Pierre Ledoux,Carlos Evangelista,Irene F. Kim,Maxim Tomashevsky,Kimberly A. Marshall,Katherine Phillippy,Patti M. Sherman,Michelle Holko,Andrey Yefanov,Hye Seung Lee,Naigong Zhang,Cynthia L. Robertson,Nadezhda Serova,Sean Davis,Alexandra Soboleva +16 more
TL;DR: The Gene Expression Omnibus is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community and supports archiving of raw data, processed data and metadata which are indexed, cross-linked and searchable.
Journal ArticleDOI
NCBI GEO: archive for functional genomics data sets—10 years on
Tanya Barrett,Dennis B. Troup,Stephen E. Wilhite,Pierre Ledoux,Carlos Evangelista,Irene F. Kim,Maxim Tomashevsky,Kimberly A. Marshall,Katherine Phillippy,Patti M. Sherman,Rolf N. Muertter,Michelle Holko,Oluwabukunmi Ayanbule,Andrey Yefanov,Alexandra Soboleva +14 more
TL;DR: Recent database enhancements are described, including new search and data representation tools, as well as a brief review of how the community uses GEO data.
Journal ArticleDOI
NCBI GEO: archive for high-throughput functional genomic data
Tanya Barrett,Dennis B. Troup,Stephen E. Wilhite,Pierre Ledoux,Dmitry Rudnev,Carlos Evangelista,Irene F. Kim,Alexandra Soboleva,Maxim Tomashevsky,Kimberly A. Marshall,Katherine Phillippy,Patti M. Sherman,Rolf N. Muertter,Ron Edgar +13 more
TL;DR: The Gene Expression Omnibus at the National Center for Biotechnology Information (NCBI) is the largest public repository for high-throughput gene expression data and offers many tools and features that allow users to effectively explore, analyze and download expression data from both gene-centric and experiment-centric perspectives.