The genome sequence of the Gold Spangle, Autographa bractea (Denis & Schiffermüller), 1775 (Lepidoptera: Noctuidae)
Camille Cornet, Michal Rindoš, Kay Lucek, Charlotte J. Wright, Joana I. Meier, Mark L. Blaxter, Xue Qing, Gen Morinaga

TL;DR
This paper presents the genome sequence of the Gold Spangle moth, including two haplotypes and gene annotations, as part of a larger project to sequence European Lepidoptera genomes.
Contribution
The study provides a high-quality genome assembly for Autographa bractea, including chromosomal pseudomolecules and mitochondrial genome.
Findings
The genome assembly includes two haplotypes totaling 412.45 and 412.70 megabases.
Haplotype 1 is scaffolded into 31 chromosomal pseudomolecules, including the Z sex chromosome.
Gene annotation identified 13,179 protein-coding genes.
Abstract
We present a genome assembly from a male specimen of Autographa bractea (Gold Spangle; Arthropoda; Insecta; Lepidoptera; Noctuidae). The assembly contains two haplotypes with total lengths of 412.45 megabases and 412.70 megabases. Most of haplotype 1 (99.7%) is scaffolded into 31 chromosomal pseudomolecules, including the Z sex chromosome. Haplotype 2 was assembled to scaffold level. The mitochondrial genome has also been assembled, with a length of 15.31 kilobases. Gene annotation of this assembly on Ensembl identified 13 179 protein-coding genes. This work is part of Project Psyche, a collaborative programme generating genomes for European butterflies and moths.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Figure 1
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Figure 7| Platform | PacBio HiFi | Hi-C |
|---|---|---|
|
| ilAutBrac1 | ilAutBrac1 |
|
| SAN28000084 | SAN28000084 |
|
| SAMEA115109800 | SAMEA115109800 |
|
| SAMEA115109818 | SAMEA115109819 |
|
| thorax | head |
|
| Revio | Illumina NovaSeq X |
|
| ERR13485742 | ERR13493999 |
|
| 2.24 million | 764.18 million |
|
| 22.05 Gb | 115.39 Gb |
|
| ilAutBrac1.hap1.1 | ilAutBrac1.hap2.1 |
|
| GCA_964264225.1 | GCA_964264215.1 |
|
| chromosome | scaffold |
|
| 412.45 | 412.70 |
|
| 31 | scaffold-level |
|
| 216 | 188 |
|
| 5.9 Mb | 5.59 Mb |
|
| 81 | 65 |
|
| 13.65 Mb | 13.72 Mb |
|
| 38.89 | - |
|
| Z | - |
|
| Mitochondrion: 15.31 kb | - |
| INSDC
| Molecule | Length
| GC% | Assigned
|
|---|---|---|---|---|
| 1 | 15.83 | 35.50 | M2 | |
| 2 | 15.69 | 36 | M17;M20 | |
| 3 | 15.26 | 36 | M1 | |
| 4 | 14.71 | 35.50 | M3 | |
| 5 | 14.63 | 35 | M9 | |
| 6 | 14.28 | 35 | M8 | |
| 7 | 14.26 | 35 | M5 | |
| 8 | 13.96 | 35 | M7 | |
| 9 | 13.96 | 34.50 | M12 | |
| 10 | 13.89 | 35 | M18 | |
| 11 | 13.94 | 35 | M16 | |
| 12 | 13.65 | 35.50 | M23 | |
| 13 | 13.44 | 35.50 | M4 | |
| 14 | 13.42 | 35.50 | M6 | |
| 15 | 13 | 35 | M21 | |
| 16 | 12.92 | 35.50 | M10 | |
| 17 | 12.89 | 35 | M22 | |
| 18 | 12.79 | 35.50 | M15 | |
| 19 | 12.28 | 35 | M13 | |
| 20 | 12.22 | 36 | M14 | |
| 21 | 11.85 | 36 | M11 | |
| 22 | 11.36 | 36 | M19 | |
| 23 | 11.19 | 35 | M24 | |
| 24 | 10.57 | 35 | M26 | |
| 25 | 9.66 | 35.50 | M27 | |
| 26 | 9.44 | 35.50 | M28 | |
| 27 | 8.69 | 38 | M30 | |
| 28 | 8.12 | 36 | M25 | |
| 29 | 7.87 | 36.50 | M29 | |
| 30 | 6.56 | 37 | M31 | |
| Z | 38.89 | 36.50 | MZ |
| Measure | Value | Benchmark |
|---|---|---|
| EBP summary (haplotype 1) | 6.C.Q65 | 6.C.Q40 |
| Contig N50 length | 5.90 Mb | ≥ 1 Mb |
| Scaffold N50 length | 13.65 Mb | = chromosome N50 |
| Consensus quality (QV) | Haplotype 1: 65.5; haplotype 2: 66.1;
| ≥ 40 |
|
| Haplotype 1: 65.54%; Haplotype 2:
| ≥ 95% |
| BUSCO (haplotype 1) | C:98.9% [S:98.4%; D:0.5%]; F:0.1%;
| S > 90%; D < 5% |
| Percentage of assembly
| 99.70% | ≥ 90% |
- —Swiss National Science Foundation (SNSF)
- —Wellcome Trust
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Taxonomy
TopicsGenomics and Phylogenetic Studies · Lepidoptera: Biology and Taxonomy · Neurobiology and Insect Physiology Research
Species taxonomy
Eukaryota; Opisthokonta; Metazoa; Eumetazoa; Bilateria; Protostomia; Ecdysozoa; Panarthropoda; Arthropoda; Mandibulata; Pancrustacea; Hexapoda; Insecta; Dicondylia; Pterygota; Neoptera; Endopterygota; Amphiesmenoptera; Lepidoptera; Glossata; Neolepidoptera; Heteroneura; Ditrysia; Obtectomera; Noctuoidea; Noctuidae; Plusiinae; Autographa; Autographa bractea (Denis & Schiffermüller), 1775 (NCBI:txid987891)
Background
The Gold Spangle, Autographa bractea (Denis & Schiffermüller), is a noctuid moth occurring in Europe, western Siberia, northern Turkey and northern Iran ( Goater et al., 2003; Macek et al., 2009). The thorax and head are grey-brown, while the abdomen is light brown with a pale brown brush on the first three abdominal segments ( Goater et al., 2003). The forewings are light brown with a reddish median area. The antemedian line is narrow and white, straight from the dorsum to the cell; the postmedian line is slightly curved and curves out next to the large median metallic spot ( Goater et al., 2003). Hindwings are yellowish with a greyish terminal area. The morphology of the male and female genitalia is illustrated in Nowacki (1998). The gold spangle is mainly nocturnal with a wandering tendencies ( Goater et al., 2003).
It is a univoltine species with adults flying from June to August, with the exception of the Southern Alps, where it is locally bivoltine ( Macek et al., 2009). It inhabits mountainous, mesophilous and hygrophilous habitats such as wet woodland edges, forest clearings and wet meadows. The larvae are polyphagous and feed on various herbaceous plants, including Crepis, Hieracium, Plantago, Stachys and Taraxacum ( Macek et al., 2009). The larvae of the early instar overwinter ( Goater et al., 2003). We present a chromosome-level, haplotype-resolved genome sequence of the Gold Spangle, Autographa bractea, sequenced as part of Project Psyche. The sequence data were derived from a male specimen ( Figure 1) collected from Brochwald, Meiringen, Switzerland.
Voucher photograph of the Autographa bractea (ilAutBrac1) specimen used for genome sequencing.
Methods
Sample acquisition
The specimen used for genome sequencing was an adult male Autographa bractea (specimen ID SAN28000084, ToLID ilAutBrac1; Figure 1), collected from Brochwald, Meiringen, Switzerland (latitude 46.6743, longitude 8.1334; elevation 1 470 m) on 2023-07-09. The specimen was collected and identified by Camille Cornet (University of Neuchâtel).
Nucleic acid extraction
Protocols for high molecular weight (HMW) DNA extraction developed at the Wellcome Sanger Institute (WSI) Tree of Life Core Laboratory are available on protocols.io ( Howard et al., 2025). The ilAutBrac1 sample was weighed and triaged to determine the appropriate extraction protocol. Tissue from the thorax was homogenised by powermashing using a PowerMasher II tissue disruptor.
HMW DNA was extracted in the WSI Scientific Operations core using the Automated MagAttract v2 protocol. DNA was sheared into an average fragment size of 12–20 kb following the Megaruptor®3 for LI PacBio protocol. Sheared DNA was purified by automated SPRI (solid-phase reversible immobilisation). The concentration of the sheared and purified DNA was assessed using a Nanodrop spectrophotometer and Qubit Fluorometer using the Qubit dsDNA High Sensitivity Assay kit. Fragment size distribution was evaluated by running the sample on the FemtoPulse system. For this sample, the final post-shearing DNA had a Qubit concentration of 43.98 ng/μL and a yield of 2 067.06 ng, with a fragment size of 12.3 kb.
PacBio HiFi library preparation and sequencing
Library preparation and sequencing were performed at the WSI Scientific Operations core. Libraries were prepared using the SMRTbell Prep Kit 3.0 (Pacific Biosciences, California, USA), according to the manufacturer’s instructions. The kit includes reagents for end repair/A-tailing, adapter ligation, post-ligation SMRTbell bead clean-up, and nuclease treatment. Size selection and clean-up were performed using diluted AMPure PB beads (Pacific Biosciences). DNA concentration was quantified using a Qubit Fluorometer v4.0 (ThermoFisher Scientific) and the Qubit 1X dsDNA HS assay kit. Final library fragment size was assessed with the Agilent Femto Pulse Automated Pulsed Field CE Instrument (Agilent Technologies) using the gDNA 55 kb BAC analysis kit.
The sample was sequenced on a Revio instrument (Pacific Biosciences). The prepared library was normalised to 2 nM, and 15 μL was used for making complexes. Primers were annealed and polymerases bound to generate circularised complexes, following the manufacturer’s instructions. Complexes were purified using 1.2X SMRTbell beads, then diluted to the Revio loading concentration (200–300 pM) and spiked with a Revio sequencing internal control. The sample was sequenced on a Revio 25M SMRT cell. The SMRT Link software (Pacific Biosciences), a web-based workflow manager, was used to configure and monitor the run and to carry out primary and secondary data analysis. Specimen details, sequencing platforms, and data yields are summarised in Table 1.
Hi-C
** Sample preparation and crosslinking **
The Hi-C sample was prepared from 20–50 mg of frozen tissue from the head of the ilAutBrac1 sample using the Arima-HiC v2 kit (Arima Genomics). Following the manufacturer’s instructions, tissue was fixed and DNA crosslinked using TC buffer to a final formaldehyde concentration of 2%. The tissue was homogenised using the Diagnocine Power Masher-II. Crosslinked DNA was digested with a restriction enzyme master mix, biotinylated, and ligated. Clean-up was performed with SPRISelect beads before library preparation. DNA concentration was measured with the Qubit Fluorometer (Thermo Fisher Scientific) and Qubit HS Assay Kit. The biotinylation percentage was estimated using the Arima-HiC v2 QC beads.
** Hi-C library preparation and sequencing **
Biotinylated DNA constructs were fragmented using a Covaris E220 sonicator and size selected to 400–600 bp using SPRISelect beads. DNA was enriched with Arima-HiC v2 kit Enrichment beads. End repair, A-tailing, and adapter ligation were carried out with the NEBNext Ultra II DNA Library Prep Kit (New England Biolabs), following a modified protocol where library preparation occurs while DNA remains bound to the Enrichment beads. Library amplification was performed using KAPA HiFi HotStart mix and a custom Unique Dual Index (UDI) barcode set (Integrated DNA Technologies). Depending on sample concentration and biotinylation percentage determined at the crosslinking stage, libraries were amplified with 10–16 PCR cycles. Post-PCR clean-up was performed with SPRISelect beads. Libraries were quantified using the AccuClear Ultra High Sensitivity dsDNA Standards Assay Kit (Biotium) and a FLUOstar Omega plate reader (BMG Labtech).
Prior to sequencing, libraries were normalised to 10 ng/μL. Normalised libraries were quantified again to create equimolar and/or weighted 2.8 nM pools. Pool concentrations were checked using the Agilent 4200 TapeStation (Agilent) with High Sensitivity D500 reagents before sequencing. Sequencing was performed using paired-end 150 bp reads on the Illumina NovaSeq X. Specimen details, sequencing platforms, and data yields are summarised in Table 1.
Genome assembly
Prior to assembly of the PacBio HiFi reads, a database of k-mer counts ( k = 31) was generated from the filtered reads using FastK. GenomeScope2 ( Ranallo-Benavidez et al., 2020) was used to analyse the k-mer frequency distributions, providing estimates of genome size, heterozygosity, and repeat content.
The HiFi reads were assembled using Hifiasm in Hi-C phasing mode ( Cheng et al., 2021; Cheng et al., 2022), producing two haplotypes. Hi-C reads ( Rao et al., 2014) were mapped to the primary contigs using bwa-mem2 ( Vasimuddin et al., 2019). Contigs were further scaffolded with Hi-C data in YaHS ( Zhou et al., 2023), using the --break option for handling potential misassemblies. The scaffolded assemblies were evaluated using Gfastats ( Formenti et al., 2022), BUSCO ( Manni et al., 2021) and MERQURY.FK ( Rhie et al., 2020). The mitochondrial genome was assembled using MitoHiFi ( Uliano-Silva et al., 2023), which runs MitoFinder ( Allio et al., 2020) and uses these annotations to select the final mitochondrial contig and to ensure the general quality of the sequence.
Assembly curation
The assembly was decontaminated using the Assembly Screen for Cobionts and Contaminants ( ASCC) pipeline. TreeVal was used to generate the flat files and maps for use in curation. Manual curation was conducted primarily in PretextView and HiGlass ( Kerpedjiev et al., 2018). Scaffolds were visually inspected and corrected as described by Howe et al. (2021). Manual corrections included 17 breaks and 114 joins. This reduced the scaffold count by 41.4% and increased scaffold N50 by 2.3%. The curation process is described at https://gitlab.com/wtsi-grit/rapid-curation. PretextSnapshot was used to generate a Hi-C contact map of the final assembly.
Assembly quality assessment
The Merqury.FK tool ( Rhie et al., 2020), run in a Singularity container ( Kurtzer et al., 2017), was used to evaluate k-mer completeness and assembly quality for both haplotypes using the k-mer database ( k = 31) computed prior to genome assembly. The analysis outputs included assembly QV scores and completeness statistics.
The genome was analysed using the BlobToolKit pipeline, a Nextflow ( Di Tommaso et al., 2017) implementation of the earlier Snakemake version ( Challis et al., 2020). The pipeline aligns PacBio reads using minimap2 ( Li, 2018) and SAMtools ( Danecek et al., 2021) to generate coverage tracks. It runs BUSCO ( Manni et al., 2021) using lineages identified from the NCBI Taxonomy ( Schoch et al., 2020). For the three domain-level lineages, BUSCO genes are aligned to the UniProt Reference Proteomes database ( Bateman et al., 2023) using DIAMOND blastp ( Buchfink et al., 2021). The genome is divided into chunks based on the density of BUSCO genes from the closest taxonomic lineage, and each chunk is aligned to the UniProt Reference Proteomes database with DIAMOND blastx. Sequences without hits are chunked using seqtk and aligned to the NT database with blastn ( Altschul et al., 1990). The BlobToolKit suite consolidates all outputs into a blobdir for visualisation. The BlobToolKit pipeline was developed using nf-core tooling ( Ewels et al., 2020) and MultiQC ( Ewels et al., 2016), with containerisation through Docker ( Merkel, 2014) and Singularity ( Kurtzer et al., 2017).
We used lep_busco_painter to paint Merian elements along chromosomes ( Wright et al., 2024). Merian elements represent the 32 ancestral linkage groups in Lepidoptera. The painting process utilised BUSCO gene locations from the lepidoptera_odb10 set ( Kriventseva et al., 2019) and chromosome lengths from NCBI Datasets. Each complete BUSCO gene (both single-copy and duplicated) was assigned to a Merian element based on a reference database, then plotted along chromosomes drawn to scale.
Genome sequence report
Sequence data
PacBio sequencing of the Autographa bractea specimen generated 22.05 Gb (gigabases) from 2.24 million reads, which were used to assemble the genome. GenomeScope2.0 analysis estimated the haploid genome size at 419.50 Mb, with a heterozygosity of 2.35% and repeat content of 29.92% ( Figure 2). These estimates guided expectations for the assembly. Based on the estimated genome size, the sequencing data provided approximately 50× coverage. Hi-C sequencing produced 115.39 Gb from 764.18 million reads, which were used to scaffold the assembly. Table 1 summarises the specimen and sequencing details.
Frequency distribution of k-mers generated using GenomeScope2.The plot shows observed and modelled k-mer spectra, providing estimates of genome size, heterozygosity, and repeat content based on unassembled sequencing reads.
Assembly statistics
The genome was assembled into two haplotypes using Hi-C phasing. Haplotype 1 was curated to chromosome level, while haplotype 2 was assembled to scaffold level. The final assembly has a total length of 412.45 Mb in 81 scaffolds, with 135 gaps, and a scaffold N50 of 13.65 Mb ( Table 2).
Most of the assembly sequence (99.7%) was assigned to 31 chromosomal-level scaffolds, representing 30 autosomes and the Z sex chromosome. These chromosome-level scaffolds, confirmed by Hi-C data, are named according to size ( Figure 3; Table 3). Chromosome painting with Merian elements illustrates the distribution of orthologues along chromosomes and highlights patterns of chromosomal evolution relative to Lepidopteran ancestral linkage groups ( Figure 4). The sex chromosome Z was identified by homology to the genome of Autographa pulchrina (GCA_905475315.1) ( Boyes et al., 2023).
Hi-C contact map of the Autographa bractea genome assembly.Assembled chromosomes are shown in order of size and labelled along the axes, with a megabase scale shown below. The plot was generated using PretextSnapshot.
Table 3.: Chromosomal pseudomolecules in the haplotype 1 genome assembly of Autographa bractea ilAutBrac1.
Merian elements painted across chromosomes in the ilAutBrac1.hap1.1 assembly of Autographa bractea.Chromosomes are drawn to scale, with the positions of orthologues shown as coloured bars. Each orthologue is coloured by the Merian element that it belongs to. All orthologues which could be assigned to Merian elements are shown.
The mitochondrial genome was also assembled (length 15.31 kb, OZ182405.1). This sequence is included as a contig in the multifasta file of the genome submission and as a standalone record.
Assembly quality metrics
For haplotype 1, the estimated QV is 65.5, and for haplotype 2, 66.1. When the two haplotypes are combined, the assembly achieves an estimated QV of 65.8. The k-mer completeness is 65.54% for haplotype 1, 65.62% for haplotype 2, and 99.43% for the combined haplotypes ( Figure 5).
Evaluation of k-mer completeness using MerquryFK.This plot illustrates the recovery of k-mers from the original read data in the final assemblies. The horizontal axis represents k-mer multiplicity, and the vertical axis shows the number of k-mers. The black curve represents k-mers that appear in the reads but are not assembled. The green curve (the homozygous peak) corresponds to k-mers shared by both haplotypes and the red and blue curves (the heterozygous peaks) show k-mers found only in one of the haplotypes.
BUSCO analysis using the lepidoptera_odb10 reference set ( n = 5 286) identified 98.9% of the expected gene set (single = 98.4%, duplicated = 0.5%) in haplotype 1. For haplotype 2, BUSCO analysis identified 98.8% of the expected gene set (single = 98.2%, duplicated = 0.6%). The snail plot in Figure 6 summarises the scaffold length distribution and other assembly statistics for haplotype 1. The blob plot in Figure 7 shows the distribution of scaffolds by GC proportion and coverage for haplotype 1.
Assembly metrics for ilAutBrac1.hap1.1.The BlobToolKit snail plot provides an overview of assembly metrics and BUSCO gene completeness. The circumference represents the length of the whole genome sequence, and the main plot is divided into 1,000 bins around the circumference. The outermost blue tracks display the distribution of GC, AT, and N percentages across the bins. Scaffolds are arranged clockwise from longest to shortest and are depicted in dark grey. The longest scaffold is indicated by the red arc, and the deeper orange and pale orange arcs represent the N50 and N90 lengths. A light grey spiral at the centre shows the cumulative scaffold count on a logarithmic scale. A summary of complete, fragmented, duplicated, and missing BUSCO genes in the set is presented at the top right. An interactive version of this figure can be accessed on the BlobToolKit viewer.
BlobToolKit GC-coverage plot for ilAutBrac1.hap1.1.Blob plot showing sequence coverage (vertical axis) and GC content (horizontal axis). The circles represent scaffolds, with the size proportional to scaffold length and the colour representing phylum membership. The histograms along the axes display the total length of sequences distributed across different levels of coverage and GC content. An interactive version of this figure is available on the BlobToolKit viewer.
Table 4 lists the assembly metric benchmarks adapted from Rhie et al. (2021) and the Earth BioGenome Project Report on Assembly Standards September 2024. The EBP metric, calculated for the haplotype 1, is 6.C.Q65, meeting the recommended reference standard.
Table 4.: Earth Biogenome Project summary metrics for the Autographa bractea assembly.
Genome annotation report
The Autographa bractea genome assembly (GCA_964264225.1) was annotated by Ensembl at the European Bioinformatics Institute (EBI). This annotation includes 26 947 transcribed mRNAs from 13 179 protein-coding and 4 087 non-coding genes. The average transcript length is 15 118.18 bp, with an average of 1.56 coding transcripts per gene and 7.24 exons per transcript. For further information, please refer to the Ensembl annotation page.
Wellcome Sanger Institute – Legal and Governance
The materials that have contributed to this genome note have been supplied by a Tree of Life collaborator. The Wellcome Sanger Institute employs a process whereby due diligence is carried out proportionate to the nature of the materials themselves, and the circumstances under which they have been/are to be collected and provided for use. The purpose of this is to address and mitigate any potential legal and/or ethical implications of receipt and use of the materials as part of the research project, and to ensure that in doing so, we align with best practice wherever possible. The overarching areas of consideration are:
• Ethical review of provenance and sourcing of the material
• Legality of collection, transfer and use (national and international).
Each transfer of samples is undertaken according to a Research Collaboration Agreement or Material Transfer Agreement entered into by the Tree of Life collaborator, Genome Research Limited (operating as the Wellcome Sanger Institute), and in some circumstances, other Tree of Life collaborators.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Allio R Schomaker-Bastos A Romiguier J : Mito Finder: efficient automated large-scale extraction of mitogenomic data in target enrichment phylogenomics. Mol Ecol Resour. 2020;20(4):892–905. 10.1111/1755-0998.13160 32243090 PMC 7497042 · doi ↗ · pubmed ↗
- 2Altschul SF Gish W Miller W : Basic Local Alignment Search Tool. J Mol Biol. 1990;215(3):403–410. 10.1016/S 0022-2836(05)80360-2 2231712 · doi ↗ · pubmed ↗
- 3Bateman A Martin MJ Orchard S : Uni Prot: the Universal Protein Knowledgebase in 2023. Nucleic Acids Res. 2023;51(D 1):D 523–D 531. 10.1093/nar/gkac 1052 36408920 PMC 9825514 · doi ↗ · pubmed ↗
- 4Boyes D Eljounaidi K, University of Oxford and Wytham Woods Genome Acquisition Lab : The genome sequence of the Beautiful Golden Y, Autographa pulchrina (Haworth, 1809) [version 1; peer review: 2 approved]. Wellcome Open Res. 2023;8: 375. 10.12688/wellcomeopenres.19840.1 39830091 PMC 11739698 · doi ↗ · pubmed ↗
- 5Buchfink B Reuter K Drost HG : Sensitive protein alignments at Tree-of-Life scale using DIAMOND. Nat Methods. 2021;18(4):366–368. 10.1038/s 41592-021-01101-x 33828273 PMC 8026399 · doi ↗ · pubmed ↗
- 6Challis R Richards E Rajan J : Blob Tool Kit – interactive quality assessment of genome assemblies. G 3 (Bethesda). 2020;10(4):1361–1374. 10.1534/g 3.119.400908 32071071 PMC 7144090 · doi ↗ · pubmed ↗
- 7Cheng H Concepcion GT Feng X : Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm. Nat Methods. 2021;18(2):170–175. 10.1038/s 41592-020-01056-5 33526886 PMC 7961889 · doi ↗ · pubmed ↗
- 8Cheng H Jarvis ED Fedrigo O : Haplotype-resolved assembly of diploid genomes without parental data. Nat Biotechnol. 2022;40(9):1332–1335. 10.1038/s 41587-022-01261-x 35332338 PMC 9464699 · doi ↗ · pubmed ↗
