Cargando…
GenomeGems: evaluation of genetic variability from deep sequencing data
BACKGROUND: Detection of disease-causing mutations using Deep Sequencing technologies possesses great challenges. In particular, organizing the great amount of sequences generated so that mutations, which might possibly be biologically relevant, are easily identified is a difficult task. Yet, for th...
Autores principales: | Ben-Zvi, Sharon, Givati, Adi, Shomron, Noam |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3499170/ https://www.ncbi.nlm.nih.gov/pubmed/22748151 http://dx.doi.org/10.1186/1756-0500-5-338 |
Ejemplares similares
-
miRviewer: a multispecies microRNA homologous viewer
por: Kiezun, Adam, et al.
Publicado: (2012) -
Pathogen detection using short-RNA deep sequencing subtraction and assembly
por: Isakov, Ofer, et al.
Publicado: (2011) -
VING: a software for visualization of deep sequencing signals
por: Descrimes, Marc, et al.
Publicado: (2015) -
ANDES: Statistical tools for the ANalyses of DEep Sequencing
por: Li, Kelvin, et al.
Publicado: (2010) -
Transcriptome walking: a laboratory-oriented GUI-based approach to mRNA identification from deep-sequenced data
por: French, Andrew S
Publicado: (2012)