Evidence map›Paper›PMID 30497373›Full record

ArticleBMC bioinformatics2018

Purge Haplotigs: allelic contig reassignment for third-gen diploid genome assemblies.

Michael J Roach, Simon A Schmidt, Anthony R Borneman

Abstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 744 papers.

0numbers the graph read from it
0cells of the map it votes in
744citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

744 citing papers in PubMed.

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  15. Chromosome-Scale Genome of Zoonotic EyewormAnimals : an open access journal from MDPI · 2026
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684 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Michael J RoachThe Australian Wine Research Institute, PO Box 197, Glen Osmond, SA, 5064, Australia. michael.roach@awri.com.au.ORCID http://orcid.org/0000-0003-1488-5148
Simon A SchmidtThe Australian Wine Research Institute, PO Box 197, Glen Osmond, SA, 5064, Australia.
Anthony R BornemanThe Australian Wine Research Institute, PO Box 197, Glen Osmond, SA, 5064, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent developments in third-gen long read sequencing and diploid-aware assemblers have resulted in the rapid release of numerous reference-quality assemblies for diploid genomes. However, assembly of highly heterozygous genomes is still problematic when regional heterogeneity is so high that haplotype homology is not recognised during assembly. This results in regional duplication rather than consolidation into allelic variants and can cause issues with downstream analysis, for example variant discovery, or haplotype reconstruction using the diploid assembly with unpaired allelic contigs.

resultsA new pipeline-Purge Haplotigs-was developed specifically for third-gen sequencing-based assemblies to automate the reassignment of allelic contigs, and to assist in the manual curation of genome assemblies. The pipeline uses a draft haplotype-fused assembly or a diploid assembly, read alignments, and repeat annotations to identify allelic variants in the primary assembly. The pipeline was tested on a simulated dataset and on four recent diploid (phased) de novo assemblies from third-generation long-read sequencing, and compared with a similar tool. After processing with Purge Haplotigs, haploid assemblies were less duplicated with minimal impact on genome completeness, and diploid assemblies had more pairings of allelic contigs.

conclusionsPurge Haplotigs improves the haploid and diploid representations of third-gen sequencing based genome assemblies by identifying and reassigning allelic contigs. The implementation is fast and scales well with large genomes, and it is less likely to over-purge repetitive or paralogous elements compared to alignment-only based methods. The software is available at https://bitbucket.org/mroachawri/purge_haplotigs under a permissive MIT licence.

Indexed as

AllelesContig MappingDiploidyArabidopsisGenome, PlantHaploidyHaplotypesHeterozygoteHigh-Throughput Nucleotide SequencingHomozygotePolymorphism, Single NucleotideSoftwarePolymorphic genomeRedundant contigsSynteny reduction

Identifiers

PMID30497373
PMCPMC6267036

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.