ERNE

ERNE aligns Next Generation Sequencing (NGS) reads using an extended randomized numerical method to enable accurate mapping of bisulfite-treated reads for DNA methylation analysis.


Key Features:

  • Alignment Accuracy: Implements an extended randomized numerical approach to improve precision of NGS read mapping.
  • Bisulfite-Treated Reads Mapping: Optimized for bisulfite-treated reads, which convert unmethylated cytosines to uracil while methylated cytosines remain unchanged, enabling methylation status determination.
  • Preprocessing Integration: Operates in workflows with read trimming preprocessing to remove low-quality bases and preserve high-quality segments, improving downstream analyses such as RNA-Seq, SNP calling, and genome assembly.

Scientific Applications:

  • Gene Expression Quantification: Produces alignments suitable for RNA-Seq-based quantification of gene expression.
  • Genotyping and SNP Calling: Provides read mappings appropriate for identifying single nucleotide polymorphisms (SNPs) and genotyping analyses.
  • Genome Reconstruction: Supplies reliable alignments that support genome assembly from fragmented sequencing data.

Methodology:

Employs an extended randomized numerical alignment algorithm, explicitly handles bisulfite-induced cytosine-to-uracil conversions during mapping, and is used in conjunction with upstream read trimming preprocessing.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Tool Type:
workflow
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C++
Added:
1/13/2017
Last Updated:
11/25/2024

Operations

Publications

Del Fabbro C, Scalabrin S, Morgante M, Giorgi FM. An Extensive Evaluation of Read Trimming Effects on Illumina NGS Data Analysis. PLoS ONE. 2013;8(12):e85024. doi:10.1371/journal.pone.0085024. PMID:24376861. PMCID:PMC3871669.

Documentation