Finding the mutations that drive resistance
Mutations that allow tumors to evolve and become resistant to treatment can be readily identified with a new sequencing approach.
Main Author: | Nadine Bley |
---|---|
Format: | Article |
Language: | English |
Published: |
eLife Sciences Publications Ltd
2020-05-01
|
Series: | eLife |
Subjects: | |
Online Access: | https://elifesciences.org/articles/57678 |
Similar Items
-
A highly accurate platform for clone-specific mutation discovery enables the study of active mutational processes
by: Eli M Carrami, et al.
Published: (2020-04-01) -
MutantHuntWGS: A Pipeline for Identifying Saccharomyces cerevisiae Mutations
by: Mitchell A. Ellison, et al.
Published: (2020-09-01) -
Application of Machine Learning Models in Error and Variant Detection in High-Variation Genomics Datasets
by: Milko Krachunov, et al.
Published: (2017-11-01) -
Variant profiling of evolving prokaryotic populations
by: Markus Zojer, et al.
Published: (2017-02-01) -
Application of deep learning technique in next generation sequence experiments
by: Su Özgür, et al.
Published: (2023-10-01)