DIAL

DIAL performs de novo structural alignment of RNA sequences and identifies genetic variation to enable reference-free analysis of nucleotide sequence similarity, dihedral angle similarity, and nucleotide base-pairing similarity.


Key Features:

  • Reference-Free Alignment: Aligns RNA sequences and short reads without relying on a reference genome, enabling analysis in species lacking reference assemblies.
  • Identification of Genetic Variations: Detects single-base substitutions, heterozygous positions, and small insertions and deletions from sequencing data, including cases with insufficient coverage for de novo assembly.
  • Transcriptome Analysis: Identifies nucleotide differences among transcriptome sequences to support studies of gene expression–related variation.
  • Evaluation and Validation: Validated on Roche/454 sequence data from Dr. James Watson's genome and Illumina data from orangutans, demonstrating accuracy in identifying heterozygous positions and nucleotide differences compared to reference-based analyses.
  • Handling Low Coverage: Incorporates extension capabilities and analytical approaches intended to increase robustness when depth of coverage is insufficient for traditional de novo assembly.

Scientific Applications:

  • Genetic Diversity Studies: Surveys genetic diversity in endangered and non-model species and informs the design of genotyping arrays for conservation management.
  • Phenotypic Variation Research: Supports investigations of phenotypic variation across populations by detecting sequence differences without requiring a reference genome.

Methodology:

Computational pipeline leverages next-generation sequencing technologies to align short reads from individual genomes independent of a reference genome and identifies genetic variations through comprehensive sequence analysis, with extension steps for detecting small insertions/deletions and detection of heterozygous positions under low coverage.

Topics

Details

License:
MIT
Maturity:
Mature
Tool Type:
api
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python, C
Added:
1/13/2017
Last Updated:
11/25/2024

Operations

Publications

Ratan A, Zhang Y, Hayes VM, Schuster SC, Miller W. Calling SNPs without a reference sequence. BMC Bioinformatics. 2010;11(1). doi:10.1186/1471-2105-11-130. PMID:20230626. PMCID:PMC2851604.

Documentation