ScholarGate
Asistente

Comparar métodos

Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.

Llamada de variantes×Análisis de variantes a nivel de célula única×
CampoBioinformáticaBioinformática
FamiliaProcess / pipelineProcess / pipeline
Año de origen2009–2010 (modern high-throughput era)2016 (Monovar; foundational single-cell SNV calling)
Autor originalLi et al. (SAMtools/bcftools, 2009); McKenna et al. (GATK, 2010)Hamim Zafar, Ken Chen, Nicholas Navin and colleagues
TipoComputational genomics pipelineComputational genomics pipeline
Fuente seminalMcKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., ... & DePristo, M. A. (2010). The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Research, 20(9), 1297–1303. DOI ↗Zafar, H., Wang, Y., Nakhleh, L., Navin, N., & Chen, K. (2016). Monovar: single-nucleotide variant detection in single cells. Nature Methods, 13(6), 505–507. DOI ↗
AliasSNP calling, genotyping from sequencing, mutation detection, variant detectionscVariant calling, single-cell SNV calling, scDNA-seq variant detection, single-cell somatic mutation calling
Relacionados61
ResumenVariant calling is the computational process of identifying positions in a sequenced genome that differ from a reference sequence — including single nucleotide polymorphisms (SNPs), small insertions and deletions (indels), and structural variants. It transforms aligned sequencing reads into an interpretable catalogue of genetic differences, forming the foundation for population genetics, disease-gene discovery, and clinical genomics applications.Single-cell variant calling is a bioinformatics pipeline that identifies DNA sequence variants — single-nucleotide variants (SNVs), small insertions and deletions, and copy-number alterations — within individual cells rather than across a bulk tissue mixture. By resolving the mutational landscape cell by cell, it reveals intra-tumoral heterogeneity, clonal architecture, and somatic mutation patterns that bulk sequencing obscures. The approach is central to cancer genomics, developmental biology, and any study where cell-to-cell genetic diversity is the primary question.
ScholarGateConjunto de datos
  1. v1
  2. 2 Fuentes
  3. PUBLISHED
  1. v1
  2. 2 Fuentes
  3. PUBLISHED

Ir a la búsqueda Descargar diapositivas

ScholarGateComparar métodos: Variant Calling · Single-cell variant calling. Recuperado el 2026-06-17 de https://scholargate.app/es/compare