Cargando…
Improved sequence variant analysis strategy by automated false positive removal
Sequence variant analysis (SVA) is critical in therapeutic protein development because it ensures the absence of genetic mutations of a production clone or high-level misincorporations during cell culture. While software for searching sequence variants from mass spectrometry data are available, effe...
Autores principales: | Li, Wenzhou, Wypych, Jette, Duff, Robert J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540081/ https://www.ncbi.nlm.nih.gov/pubmed/28590201 http://dx.doi.org/10.1080/19420862.2017.1336591 |
Ejemplares similares
-
High False Positives and False Negatives in Yeast Parameter in an Automated Urine Sediment Analyzer
por: Aydin, Ozgur, et al.
Publicado: (2015) -
False Positive Hemianopia
por: Ben-Avi, Ravid, et al.
Publicado: (2022) -
Direct mass spectrometric characterization of disulfide linkages
por: Guan, Xiaoyan, et al.
Publicado: (2018) -
Generalizable characteristics of false-positive bacterial variant calls
por: Bush, Stephen J.
Publicado: (2021) -
Decreasing the number of false positives in sequence classification
por: Machado-Lima, Ariane, et al.
Publicado: (2010)