Author

Jacob K. Asiedu

Broad Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:database / resource· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Aravind SubramanianiD· 3 shared David L. LahriD· 3 shared Joshua GouldiD· 3 shared Andrew A. TubelliiD· 2 shared Corey Flynn· 2 shared Courtney Toder· 2 shared Daniel Lam· 2 shared David Wadden· 2 shared

Activity by Year

2017-2018 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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3 shared papersSystems Biology

Aravind SubramanianORCID

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3 papers

Recent·Most cited

A Library of Phosphoproteomic and Chromatin Signatures for Characterizing Cellular Responses to Drug Perturbations

Lev Litichevskiy, Ryan Peckner, Jennifer G. Abelin, Jacob K. Asiedu, Amanda L. Creech, John F. Davis, Desiree Davison, Caitlin M. Dunning, Jarrett D. Egertson, Shawn B. Egri, Joshua Gould, Tak Ko, Sarah Johnson, David L. Lahr, Daniel Lam, , Jacob D. Jaffe

The paper creates a proteomic resource profiling 90 drugs in six cell lines, revealing cell-specific responses and enabling integration with transcriptional data to identify therapeutic opportunities.

Cell Systems · Apr 1, 2018Peer-reviewedSystems Biology

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 E. Natoli, Lev Litichevskiy, David Wadden, Corey Flynn, Joshua Gould, Jacob K. Asiedu, Rajiv Narayan, Aravind Subramanian

The paper introduces the GCTx format and associated software packages for efficiently storing and analyzing large dense matrices of perturbation data and annotations.

bioRxiv · Jan 3, 2018 · PreprintBioinformatics

A Next Generation Connectivity Map: L1000 Platform And The First 1,000,000 Profiles

Aravind Subramanian, Rajiv Narayan, Steven M. Corsello, David D. Peck, Ted Natoli, Xiaodong Lü, Joshua Gould, John F. Davis, Andrew A. Tubelli, Jacob K. Asiedu, David L. Lahr, Jodi Hirschman, Zihan Liu, Melanie K. Donahue, Bina Julian, , Todd R. Golub

The paper introduces the L1000 platform, a high-throughput gene expression profiling method, and reports 1.3 million perturbational profiles expanding the Connectivity Map for drug mechanism discovery and functional annotation.

Cell · Nov 1, 2017Peer-reviewedGenomics