<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Rayamajhi N</submitter><funding>NSF OPP</funding><pagination>jkac192</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9635638</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(11)</volume><pubmed_abstract>For any genome-based research, a robust genome assembly is required. De novo assembly strategies have evolved with changes in DNA sequencing technologies and have been through at least 3 phases: (1) short-read only, (2) short- and long-read hybrid, and (3) long-read only assemblies. Each of the phases has its own error model. We hypothesized that hidden short-read scaffolding errors and erroneous long-read contigs degrade the quality of short- and long-read hybrid assemblies. We assembled the genome of Trematomus borchgrevinki from data generated during each of the 3 phases and assessed the quality problems we encountered. We developed strategies such as k-mer-assembled region replacement, parameter optimization, and long-read sampling to address the error models. We demonstrated that a k-</pubmed_abstract><journal>G3 (Bethesda, Md.)</journal><pubmed_title>Evaluating Illumina-, Nanopore-, and PacBio-based genome assembly strategies with the bald notothen, Trematomus borchgrevinki.</pubmed_title><pmcid>PMC9635638</pmcid><funding_grant_id>1645087</funding_grant_id><pubmed_authors>Cheng CC</pubmed_authors><pubmed_authors>Rayamajhi N</pubmed_authors><pubmed_authors>Catchen JM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Evaluating Illumina-, Nanopore-, and PacBio-based genome assembly strategies with the bald notothen, Trematomus borchgrevinki.</name><description>For any genome-based research, a robust genome assembly is required. De novo assembly strategies have evolved with changes in DNA sequencing technologies and have been through at least 3 phases: (1) short-read only, (2) short- and long-read hybrid, and (3) long-read only assemblies. Each of the phases has its own error model. We hypothesized that hidden short-read scaffolding errors and erroneous long-read contigs degrade the quality of short- and long-read hybrid assemblies. We assembled the genome of Trematomus borchgrevinki from data generated during each of the 3 phases and assessed the quality problems we encountered. We developed strategies such as k-mer-assembled region replacement, parameter optimization, and long-read sampling to address the error models. We demonstrated that a k-</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Nov</publication><modification>2026-07-16T12:38:52.921Z</modification><creation>2025-04-06T18:22:44.344Z</creation></dates><accession>S-EPMC9635638</accession><cross_references><pubmed>35904764</pubmed><doi>10.1093/g3journal/jkac192</doi></cross_references></HashMap>