DNAscan

DNAscan performs analysis of next-generation sequencing (NGS) data to detect single nucleotide variants (SNVs), small insertions and deletions (indels), structural variants, repeat expansions, and viral genetic material for genomic research and precision medicine.


Key Features:

  • Efficiency and speed: Processes a whole exome sequencing (WES) sample in ~1 hour and a 40x whole genome sequencing (WGS) sample in ~13 hours on midrange computers, minimizing computational demands.
  • Variant detection: Identifies single nucleotide variants (SNVs), small indels, structural variants, repeat expansions, and viral genetic material from NGS data.
  • Customizable annotation: Produces annotated results using a customizable array of databases to facilitate variant interpretation.
  • Data scope: Supports analysis of whole-exome and whole-genome NGS datasets.

Scientific Applications:

  • Disease-associated variant discovery: Detection and annotation of SNVs, indels, structural variants, and repeat expansions for studying genetic contributions to disease.
  • Precision medicine: Identification and annotation of clinically relevant variants to inform genotype-driven clinical and research decisions.
  • Viral sequence detection: Identification of viral genetic material within sequencing datasets for pathogen detection and characterization.
  • Genomic structural variation studies: Analysis of structural variants and repeat expansions in research on genome architecture and variation.

Methodology:

Implemented in Python and performs variant annotation using a customizable set of databases.

Topics

Details

License:
MIT
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
6/20/2019
Last Updated:
6/16/2020

Operations

Publications

Iacoangeli A, Al Khleifat A, Sproviero W, Shatunov A, Jones AR, Morgan SL, Pittman A, Dobson RJ, Newhouse SJ, Al-Chalabi A. DNAscan: personal computer compatible NGS analysis, annotation and visualisation. BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-019-2791-8. PMID:31029080. PMCID:PMC6487045.

Documentation

Links