Cargando…
ncdDetect2: improved models of the site-specific mutation rate in cancer and driver detection with robust significance evaluation
MOTIVATION: Understanding the mutational processes that act during cancer development is a key topic of cancer biology. Nevertheless, much remains to be learned, as a complex interplay of processes with dependencies on a range of genomic features creates highly heterogeneous cancer genomes. Accurate...
Autores principales: | Juul, Malene, Madsen, Tobias, Guo, Qianyun, Bertl, Johanna, Hobolth, Asger, Kellis, Manolis, Pedersen, Jakob Skou |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330011/ https://www.ncbi.nlm.nih.gov/pubmed/29945188 http://dx.doi.org/10.1093/bioinformatics/bty511 |
Ejemplares similares
-
Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate
por: Juul, Malene, et al.
Publicado: (2017) -
A site specific model and analysis of the neutral somatic mutation rate in whole-genome cancer data
por: Bertl, Johanna, et al.
Publicado: (2018) -
Significance evaluation in factor graphs
por: Madsen, Tobias, et al.
Publicado: (2017) -
Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival
por: Hornshøj, Henrik, et al.
Publicado: (2018) -
Regmex: a statistical tool for exploring motifs in ranked sequence lists from genomics experiments
por: Nielsen, Morten Muhlig, et al.
Publicado: (2018)