AsmVar

AsmVar detects, genotypes, and characterizes structural variants (SVs) and novel sequences from de novo genome assemblies to enable nucleotide-resolution analysis of complex genomic variation.


Key Features:

  • Structural Variant Discovery: Detects a wide array of SVs, including large deletions, insertions, inversions, and translocations, using de novo genome assemblies to achieve nucleotide resolution.
  • Genotyping Capabilities: Provides genotyping of identified structural variants within individual genomes and across populations.
  • Characterization of Novel Sequences: Identifies and characterizes novel sequences absent from reference genomes.
  • Annotation and Interpretation: Annotates ancestral states and infers formation mechanisms of structural variants to aid biological interpretation.
  • Population-Scale Analysis: Supports analysis of large-scale de novo genome assemblies to facilitate population genomics and pan-genome construction.

Scientific Applications:

  • Disease Research: Enables investigation of the contribution of structural variants to disease etiology through discovery and genotyping.
  • Genomic Diversity Studies: Supports exploration of genomic variation and evolutionary biology across populations.
  • Pan-genome Construction: Facilitates integration of multiple individual assemblies to construct pan-genomes that capture species-level genomic content.

Methodology:

AsmVar integrates de novo genome assembly with advanced algorithms to identify and characterize structural variants, and it addresses biases inherent in traditional DNA re-sequencing.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
Python
Added:
7/7/2018
Last Updated:
12/10/2018

Operations

Publications

Liu S, Huang S, Rao J, Ye W, Krogh A, Wang J. Discovery, genotyping and characterization of structural variation and novel sequence at single nucleotide resolution from <i>de novo</i> genome assemblies on a population scale. Gigascience. 2015;4(1). doi:10.1186/s13742-015-0103-4. PMID:26705468. PMCID:PMC4690232.

Documentation