FATHMM: Frameshift Aware Translated Hidden Markov Models

Author

Genevieve Krause, University of Montana, MissoulaFollow

Year of Award

2022

Document Type

Thesis

Degree Type

Master of Science (MS)

Degree Name

Computer Science

Department or School/College

Computer Science

Committee Chair

Travis Wheeler

Commitee Members

Travis Wheeler, Doug Brinkerhoff, Mark Grimes

Keywords

sequence annotation, long read sequencing, pseudogenes

Publisher

University of Montana

Subject Categories

Bioinformatics | Computational Biology | Genomics

Recommended Citation

Krause, Genevieve, "FATHMM: Frameshift Aware Translated Hidden Markov Models" (2022). Graduate Student Theses, Dissertations, & Professional Papers. 11882.
https://scholarworks.umt.edu/etd/11882