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September 10, 2025Genome biologyOpen Access

DelSIEVE: cell phylogeny modeling of single nucleotide variants and deletions from single-cell DNA sequencing data

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Authors

SKSenbai KangNBNico BorgsmüllerMVMonica Valecha

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Overview

DelSIEVE identifies single nucleotide variants and deletions in cancer samples, suggesting improved variant calling.

Key Points

  • DelSIEVE detects more evolutionary events than previous methods, improving variant analysis.
  • High performance in simulations shows DelSIEVE's capability in distinguishing deletions from artifacts.
  • Application to cancer samples reveals significant variations in deletions and double mutants.
  • Effective modeling of single-cell DNA sequencing data highlights its potential in evolutionary studies.

Cite This Study

Kang et al. (2025) studied this question.

synapsesocial.com/papers/68c1d21f54b1d3bfb60f7460https://doi.org/10.1186/s13059-025-03738-9
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Deconvolution and Phylogeny Inference of Diverse Variant Types Integrating Bulk DNA-seq with Single-cell RNA-seq2025
  2. 2Abstract 2326: Integrating single nucleotide variants (SNVs), copy number alterations (CNAs), and structural variants (SVs) into single-cell clonal lineage inference2024
  3. 3Unraveling the phylogenetic signal of gene expression from single-cell RNA-seq data2024
  4. 4Deletion variants calling in third-generation sequencing data based on a dual-attention mechanism2024
  5. 5Unraveling the Phylogenetic Signal of Gene Expression from Single-cell RNA-seq Data2026