CellectSeq: In silico discovery of antibodies targeting integral membrane proteins combining in situ selections and next-generation sequencing
Kelil, Gallo et al. develop an antibody discovery strategy, termed CellectSeq, for targeting integral membrane proteins on native cells. This strategy uses motif-based scoring and sequencing error-filtering algorithms to identify antibodies with high diversity and specificity even at extremely low a...
Guardado en:
Autores principales: | Abdellali Kelil, Eugenio Gallo, Sunandan Banerjee, Jarrett J. Adams, Sachdev S. Sidhu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/45934952be24446d877a084a048a5f19 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Next-generation muscle-directed gene therapy by in silico vector design
por: S. Sarcar, et al.
Publicado: (2019) -
DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery
por: Chaoyang Ye, et al.
Publicado: (2018) -
deFuse: an algorithm for gene fusion discovery in tumor RNA-Seq data.
por: Andrew McPherson, et al.
Publicado: (2011) -
Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks
por: Mohamed Marouf, et al.
Publicado: (2020) -
WSMD: weakly-supervised motif discovery in transcription factor ChIP-seq data
por: Hongbo Zhang, et al.
Publicado: (2017)