Author

Michael Moore

Washington University in St. Louis

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

Biology Disciplines

Click to filter author papers

Evolutionary Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Alfonso Timoneda-Monfort· 1 shared Ansuman T. SatpathyiD· 1 shared Emily StolleriD· 1 shared Hannah Marx· 1 shared Jesse Meir ZaretskyiD· 1 shared Joseph Walker· 1 shared Oleg ShpynoviD· 1 shared Oliver Takacsi-Nagy· 1 shared

Activity by Year

2016-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperEvolutionary Biology

Alfonso Timoneda-Monfort

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Scalable transcription factor mapping uncovers the regulatory dynamics of natural and synthetic transcription factors in human T cell states

Riley D. Z. Mullins, Jesse Meir Zaretsky, Emily Stoller, Michael Moore, Oliver Takacsi-Nagy, Oleg Shpynov, Remi Sampaleanu, Theodore L. Roth, Ansuman T. Satpathy, Robi David Mitra, Sidharth V. Puram

The paper develops and applies a scalable method to map transcription factor binding in human T cells, revealing novel regulatory dynamics and gene targets.

bioRxiv · Oct 9, 2025 · PreprintImmunology

An efficient field and laboratory workflow for plant phylotranscriptomic projects

Ya Yang, Michael Moore, Samuel Brockington, Alfonso Timoneda-Monfort, Tao Feng, Hannah Marx, Joseph Walker, Stephen Smith

The paper describes a cost-effective and time-efficient workflow for plant phylotranscriptomic projects, including field collection, RNA extraction, and sequencing of difficult plant tissues.

bioRxiv · Oct 7, 2016Evolutionary Biology