C
Corey Flynn
Researcher at Broad Institute
Publications - 5
Citations - 2894
Corey Flynn is an academic researcher from Broad Institute. The author has contributed to research in topics: Serialization & File format. The author has an hindex of 5, co-authored 5 publications receiving 1508 citations.
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Journal ArticleDOI
A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles.
Aravind Subramanian,Rajiv Narayan,Steven M. Corsello,Steven M. Corsello,David Peck,Ted Natoli,Xiaodong Lu,Joshua Gould,John F. Davis,Andrew A. Tubelli,Jacob K. Asiedu,David L. Lahr,Jodi E. Hirschman,Zihan Liu,Melanie Donahue,Bina Julian,Mariya Khan,David Wadden,Ian Smith,Daniel D. Lam,Arthur Liberzon,Courtney Toder,Mukta Bagul,Marek Orzechowski,Oana M. Enache,Federica Piccioni,Sarah A. Johnson,Nicholas J. Lyons,Alice H. Berger,Alice H. Berger,Alykhan F. Shamji,Angela N. Brooks,Angela N. Brooks,Anita Vrcic,Corey Flynn,Jacqueline Rosains,David Y. Takeda,David Y. Takeda,Roger Hu,Desiree Davison,Justin Lamb,Kristin Ardlie,Larson Hogstrom,Peyton Greenside,Nathanael S. Gray,Nathanael S. Gray,Paul A. Clemons,Serena J. Silver,Xiaoyun Wu,Wen-Ning Zhao,Wen-Ning Zhao,Willis Read-Button,Xiaohua Wu,Stephen J. Haggarty,Stephen J. Haggarty,Lucienne Ronco,Jesse S. Boehm,Stuart L. Schreiber,Stuart L. Schreiber,Stuart L. Schreiber,John G. Doench,Joshua A. Bittker,David E. Root,Bang Wong,Todd R. Golub +64 more
TL;DR: The expanded CMap is reported, made possible by a new, low-cost, high-throughput reduced representation expression profiling method that is shown to be highly reproducible, comparable to RNA sequencing, and suitable for computational inference of the expression levels of 81% of non-measured transcripts.
Posted ContentDOI
A Next Generation Connectivity Map: L1000 Platform And The First 1,000,000 Profiles
Aravind Subramanian,Rajiv Narayan,Steven M. Corsello,David Peck,Ted Natoli,Xiaodong Lu,Joshua Gould,John F. Davis,Andrew A. Tubelli,Jacob K. Asiedu,David L. Lahr,Jodi E. Hirschman,Zihan Liu,Melanie Donahue,Bina Julian,Mariya Khan,David Wadden,Ian Smith,Daniel D. Lam,Arthur Liberzon,Courtney Toder,Mukta Bagul,Marek Orzechowski,Oana M. Enache,Federica Piccioni,Alice H. Berger,Alykhan F. Shamji,Angela N. Brooks,Anita Vrcic,Corey Flynn,Jacqueline Rosains,David Y. Takeda,Desiree Davison,Justin Lamb,Kristin Ardlie,Larson Hogstrom,Nathanael S. Gray,Paul A. Clemons,Serena J. Silver,Xiaoyun Wu,Wen-Ning Zhao,Willis Read-Button,Xiaohua Wu,Stephen J. Haggarty,Lucienne Ronco,Jesse S. Boehm,Stuart L. Schreiber,John G. Doench,Joshua A. Bittker,David E. Root,Bang Wong,Todd R. Golub +51 more
TL;DR: A new, low-cost, high throughput reduced representation expression profiling method, L1000, is shown to be highly reproducible, comparable to RNA sequencing, and suitable for computational inference of the expression levels of 81% of non-measured transcripts.
Journal ArticleDOI
LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures
Qiaonan Duan,Corey Flynn,Mario Niepel,Marc Hafner,Jeremy L. Muhlich,Nicolas F. Fernandez,Andrew D. Rouillard,Christopher M. Tan,Edward Y. Chen,Todd R. Golub,Peter K. Sorger,Aravind Subramanian,Avi Ma'ayan +12 more
TL;DR: LINCS Canvas Browser (LCB) is an interactive HTML5 web-based software application that facilitates querying, browsing and interrogating many of the currently available LINCS L1000 data.
Journal ArticleDOI
The GCTx format and cmap{Py, R, M, J} packages: resources for optimized storage and integrated traversal of annotated dense matrices.
Oana M. Enache,David L. Lahr,Ted Natoli,Lev Litichevskiy,David Wadden,Corey Flynn,Joshua Gould,Jacob K. Asiedu,Rajiv Narayan,Aravind Subramanian +9 more
TL;DR: The GCTx file format and a suite of open‐source packages for the efficient storage, serialization and analysis of dense two‐dimensional matrices are presented and it is anticipated that the format's generalizability will lower barriers for integrated cross‐assay analysis and algorithm development.
Posted ContentDOI
The GCTx format and cmap{Py, R, M} packages: resources for the optimized storage and integrated traversal of dense matrices of data and annotations
Oana M. Enache,David L. Lahr,Ted Natoli,Lev Litichevskiy,David Wadden,Corey Flynn,Joshua Gould,Jacob K. Asiedu,Rajiv Narayan,Aravind Subramanian +9 more
TL;DR: The GCTx file format and a suite of open-source packages for the efficient storage, serialization, and analysis of dense two-dimensional matrices are presented and it is anticipated that the generalizability of the GCTX format will stimulate wider adoption and lower barriers for integrated cross-assay analysis and algorithm development.