Genome assemblies of Drosophila melanogaster inbred strains from Hemker et al. 2026

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Authors: James A. Hemker
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Abstract

The increasing accessibility of long-read sequencing and the rapid development of automated variant callers are promoting the generation of population-level structural variation data. However, the effect of the length of long-reads on automated variant callers is not well understood, especially for non-human species. We used Oxford Nanopore Technologies to long-read sequence eight, inbred *D. melanogaster *strains to extremely high coverage (mean 238x), and we then downsampled the reads (to 30x-coverage) to create read pools of different length distributions. Here are the assembled genomes from each of these read-length distributions. Average distributions stats are described in the table below.Description of the data and file structureEight inbred D. melanogaster strains were deeply sequenced (mean: 238x) with nanopore long reads. These read pools were then computationally downsampled into five pools of distinct read-length distributions and coverages. Each of these pools were then assembled into genomes. In total there are five assemblies per strain and 40 assemblies in total.The assemblies are provided in a tarballs, grouped by read-length distribution.Files and variablesEach set of eight assemblies for a given read-length distribution is included in the tarball named [distribution]_assemblies.tar.gz.Download and access these assemblies with tar xzf [distribution]_assemblies.tar.gzEach tarball will have the following contents:[strain_id].[distribution].rm.fastaWhere [strain_id] is one of dmel11, dmel12, dmel19, dmel21, dmel22, dmel31, dmel37, dmel55.Strain-specific information can be found in the Materials and Methods and Supplementary Information

Fields of Study & Subjects

Genomics and Phylogenetic Studies Genomic variations and chromosomal abnormalities Chromosomal and Genetic Variations

Publication details

Journal / source
Figshare
Publication date
3 March 2026
Language
EN
Document type
Dataset