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eidolon (formerly rusty-neat): a Rust toolkit for simulating NGS read data, including tumor/normal cancer sequencing

Authors: Allen, Joshua; Kowalik, Mikolaj; NEAT Contributors;

eidolon (formerly rusty-neat): a Rust toolkit for simulating NGS read data, including tumor/normal cancer sequencing

Abstract

eidolon is a Rust port and extension of NEAT that generates simulated next-generation sequencing data in FASTQ and VCF formats with the statistical properties of real datasets, along with a golden BAM/VCF truth set of inserted variants and ideal alignments. It adds structural-variant simulation (CNV, BND, INV, INS, and others) and an end-to-end tumor/normal cancer workflow (gen-cancer-reads) that merges two read passes at a configurable purity and emits an origin-tagged truth VCF for benchmarking somatic and structural-variant callers, with an emphasis on low memory use and short CPU time.

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Keywords

variant-calling, cancer-genomics, fastq, vcf, bioinformatics, rust, ngs-simulation, structural-variants

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average