Cargando…
Identifying viral integration sites using SeqMap 2.0
Summary: Retroviral integration has been implicated in several biomedical applications, including identification of cancer-associated genes and malignant transformation in gene therapy clinical trials. We introduce an efficient and scalable method for fast identification of viral vector integration...
Autores principales: | Hawkins, Troy B., Dantzer, Jessica, Peters, Brandon, Dinauer, Mary, Mockaitis, Keithanne, Mooney, Sean, Cornetta, Kenneth |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3042184/ https://www.ncbi.nlm.nih.gov/pubmed/21245052 http://dx.doi.org/10.1093/bioinformatics/btq722 |
Ejemplares similares
-
Development and Evaluation of Quality Metrics for Bioinformatics Analysis of Viral Insertion Site Data Generated Using High Throughput Sequencing
por: Gao, Hongyu, et al.
Publicado: (2014) -
Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with Glimma 2.0
por: Kariyawasam, Hasaru, et al.
Publicado: (2021) -
mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters
por: Jónsson, Hákon, et al.
Publicado: (2013) -
ViralFusionSeq: accurately discover viral integration events and reconstruct fusion transcripts at single-base resolution
por: Li, Jing-Woei, et al.
Publicado: (2013) -
VIBE 2.0: Visual Integration for Bayesian Evaluation
por: Beagley, Nathaniel, et al.
Publicado: (2010)