Author

Emily S. Boja

United States Food and Drug AdministrationORCID 0000-0002-0765-3827Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Adrián Muñoz‐BarreraiD· 1 shared Alexey Dolgoborodov· 1 shared Alexey KolesnikoviD· 1 shared Amit JainiD· 1 shared Andigoni MalousiiD· 1 shared Andrew W. CarrolliD· 1 shared Anish G. Prasanna· 1 shared Benedict PateniD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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 paperBioinformatics

Adrián Muñoz‐BarreraORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

precisionFDA Truth Challenge V2: Calling variants from short- and long-reads in difficult-to-map regions

Nathan D. Olson, Justin Wagner, Jennifer McDaniel, Sarah H. Stephens, Samuel T. Westreich, Anish G. Prasanna, Elaine Johanson, Emily S. Boja, Ezekiel J. Maier, Omar Serang, David Jáspez, Jose Miguel Lorenzo-Salazar, Adrián Muñoz‐Barrera, Luis A. Rubio‐Rodríguez, Carlos Flores, , Justin M. Zook

The paper evaluates variant calling in difficult genomic regions using short- and long-read sequencing, showing improved performance with new methods and multi-technology approaches.

Cell Genomics · Apr 27, 2022Peer-reviewedBioinformatics