ELAND

ELAND aligns whole-genome and short-read sequencing data to a reference genome to enable identification of genetic variants and support analyses such as variant calling, and was developed by Illumina.

Key Features:

• Whole-genome alignment: Aligns whole-genome sequencing data to a reference genome for comprehensive genomic analyses.
• Reads alignment: Aligns individual reads to a reference genome to support targeted analyses such as variant calling and mutation detection.
• High-throughput capability: Handles large volumes of sequencing data optimized for high-throughput processing.
• Accuracy and precision: Employs stringent alignment criteria to minimize mapping errors and support accurate identification of SNPs and indels.

Scientific Applications:

• Cancer genomics: Aligns tumor and matched normal sequencing reads (for example, whole-exome sequencing of metastatic melanoma and matched normal DNAs) to identify somatic mutations.
• Somatic mutation discovery: Enables detection of single nucleotide polymorphisms, insertions/deletions, and recurrent mutations such as TRRAP and GRIN2A.
• Pathway and gene discovery: Supports identification of mutated genes and implicated pathways, for example implicating the glutamate signaling pathway in melanoma.

Methodology:

Alignment of sequencing data against a reference genome using advanced algorithms to ensure high accuracy and efficiency.