Novocraft

Novocraft maps short reads from Illumina and SOLiD sequencing to reference genomes to enable accurate single nucleotide variant (SNV) and microindel detection in deep short-read sequencing data.


Key Features:

  • Short-read mapping: Aligns Illumina and SOLiD short reads to reference genomes and was evaluated against MAQ, Bowtie, Burrows-Wheeler Alignment Tool (BWA), and RazerS.
  • Microindel detection: Detects small insertions and deletions typically less than 4 base pairs in length.
  • Error rate analysis and gapped alignments: Implements gapped alignments to reduce systematic SNV-calling errors that arise from ungapped alignments.
  • Equivalent Indel Region (eir) algorithm: Computes equivalent indel regions by processing alignments produced by various mapping tools to facilitate accurate indel calling.
  • Benchmarking with simulated datasets: Uses simulated indel-containing datasets to assess performance and compare mapping tool behavior for indel detection.

Scientific Applications:

  • Resequencing and variant detection: Enhances identification of SNVs and microindels in resequencing studies using short-read data.
  • Comparative genomics and platform comparison: Identifies overlapping and distinct microindels relative to ABI Sanger and Roche 454 sequencing to compare variant calls across technologies.

Methodology:

Performs systematic analysis using simulated datasets containing indels, evaluates performance across different mapping tools, applies gapped alignments to mitigate SNV-calling errors from ungapped alignments, and computes equivalent indel regions using the eir algorithm.

Topics

Details

Maturity:
Mature
Tool Type:
workflow
Operating Systems:
Linux, Mac
Programming Languages:
C++
Added:
1/13/2017
Last Updated:
11/25/2024

Operations

Publications

Krawitz P, Rödelsperger C, Jäger M, Jostins L, Bauer S, Robinson PN. Microindel detection in short-read sequence data. Bioinformatics. 2010;26(6):722-729. doi:10.1093/bioinformatics/btq027. PMID:20144947.

Documentation