Cargando…
Synggen: fast and data-driven generation of synthetic heterogeneous NGS cancer data
SUMMARY: Whole-exome and targeted sequencing are widely utilized both in translational cancer genomics and in the setting of precision medicine. The benchmarking of computational methods and tools that are in continuous development is fundamental for the correct interpretation of somatic genomic pro...
Autores principales: | Scandino, Riccardo, Calabrese, Federico, Romanel, Alessandro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825741/ https://www.ncbi.nlm.nih.gov/pubmed/36484701 http://dx.doi.org/10.1093/bioinformatics/btac792 |
Ejemplares similares
-
Sambamba: fast processing of NGS alignment formats
por: Tarasov, Artem, et al.
Publicado: (2015) -
TIminer: NGS data mining pipeline for cancer immunology and immunotherapy
por: Tappeiner, Elias, et al.
Publicado: (2017) -
Altools: a user friendly NGS data analyser
por: Camiolo, Salvatore, et al.
Publicado: (2016) -
NgsRelate: a software tool for estimating pairwise relatedness from next-generation sequencing data
por: Korneliussen, Thorfinn Sand, et al.
Publicado: (2015) -
EthSEQ: ethnicity annotation from whole exome sequencing data
por: Romanel, Alessandro, et al.
Publicado: (2017)