Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Одноклітинний філогенетичний аналіз× | Виявлення варіантів× | |
|---|---|---|
| Галузь | Біоінформатика | Біоінформатика |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 2014-2020 (rapid development period) | 2009–2010 (modern high-throughput era) |
| Автор методу≠ | Multiple groups; foundational tools: Trapnell et al. (Monocle, 2014), Jones et al. (Cassiopeia, 2020) | Li et al. (SAMtools/bcftools, 2009); McKenna et al. (GATK, 2010) |
| Тип≠ | Computational phylogenetic inference pipeline | Computational genomics pipeline |
| Основоположне джерело≠ | Jones, M. G., Khodaverdian, A., Quinn, J. J., Chan, M. M., Hussmann, J. A., Wang, R., Xu, C., Weissman, J. S., & Yosef, N. (2020). Inference of single-cell phylogenies from lineage tracing data using Cassiopeia. Genome Biology, 21(1), 92. DOI ↗ | McKenna, 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 ↗ |
| Інші назви | scPhylogeny, single-cell lineage tracing, clonal phylogenetics, single-cell tree inference | SNP calling, genotyping from sequencing, mutation detection, variant detection |
| Пов'язані≠ | 4 | 6 |
| Підсумок≠ | Single-cell phylogenetic analysis reconstructs evolutionary or developmental trees from single-cell sequencing data, tracing how individual cells diverged from a common ancestor. By leveraging somatic mutations, CRISPR-introduced barcodes, or copy-number changes as heritable characters, this method maps clonal relationships within tumors, developing tissues, or immune repertoires with unprecedented cellular resolution. | Variant 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. |
| ScholarGateНабір даних ↗ |
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