Methods for copy number aberration detection from single-cell DNA-sequencing data.
Genome Biol
; 21(1): 208, 2020 08 17.
Article
en En
| MEDLINE
| ID: mdl-32807205
ABSTRACT
Copy number aberrations (CNAs), which are pathogenic copy number variations (CNVs), play an important role in the initiation and progression of cancer. Single-cell DNA-sequencing (scDNAseq) technologies produce data that is ideal for inferring CNAs. In this review, we review eight methods that have been developed for detecting CNAs in scDNAseq data, and categorize them according to the steps of a seven-step pipeline that they employ. Furthermore, we review models and methods for evolutionary analyses of CNAs from scDNAseq data and highlight advances and future research directions for computational methods for CNA detection from scDNAseq data.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Secuencia de Bases
/
Análisis de Secuencia de ADN
/
Biología Computacional
/
Variaciones en el Número de Copia de ADN
Tipo de estudio:
Diagnostic_studies
Límite:
Humans
Idioma:
En
Revista:
Genome Biol
Asunto de la revista:
BIOLOGIA MOLECULAR
/
GENETICA
Año:
2020
Tipo del documento:
Article
País de afiliación:
Estados Unidos