Evidence map›Paper›PMID 33180771›Full record

ArticlePLoS computational biology2020

Twelve quick steps for genome assembly and annotation in the classroom.

Hyungtaek Jung, Tomer Ventura, J Sook Chung, Woo-Jin Kim, Bo-Hye Nam, Hee Jeong Kong, Young-Ok Kim, Min-Seung Jeon, Seong-Il Eyun

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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  17. Dietary exposure of the water fleaAnimal cells and systems · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hyungtaek JungSchool of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia.ORCID 0000-0003-2464-1235
Tomer VenturaGenecology Research Centre, School of Science and Engineering, University of the Sunshine Coast, Sippy Downs, Queensland, Australia.ORCID 0000-0002-0777-2367
J Sook ChungInstitute of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Baltimore, Maryland, United States of America.ORCID 0000-0002-9318-304X
Woo-Jin KimGenetics and Breeding Research Center, National Institute of Fisheries Science, Geoje, Korea.ORCID 0000-0002-0921-2312
Bo-Hye NamBiotechnology Research Division, National Institute of Fisheries Science, Busan, Korea.
Hee Jeong KongBiotechnology Research Division, National Institute of Fisheries Science, Busan, Korea.ORCID 0000-0001-6524-6544
Young-Ok KimBiotechnology Research Division, National Institute of Fisheries Science, Busan, Korea.ORCID 0000-0001-8719-0764
Min-Seung JeonDepartment of Life Science, Chung-Ang University, Seoul, Korea.
Seong-Il EyunDepartment of Life Science, Chung-Ang University, Seoul, Korea.ORCID 0000-0003-4687-1066

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eukaryotic genome sequencing and de novo assembly, once the exclusive domain of well-funded international consortia, have become increasingly affordable, thus fitting the budgets of individual research groups. Third-generation long-read DNA sequencing technologies are increasingly used, providing extensive genomic toolkits that were once reserved for a few select model organisms. Generating high-quality genome assemblies and annotations for many aquatic species still presents significant challenges due to their large genome sizes, complexity, and high chromosome numbers. Indeed, selecting the most appropriate sequencing and software platforms and annotation pipelines for a new genome project can be daunting because tools often only work in limited contexts. In genomics, generating a high-quality genome assembly/annotation has become an indispensable tool for better understanding the biology of any species. Herein, we state 12 steps to help researchers get started in genome projects by presenting guidelines that are broadly applicable (to any species), sustainable over time, and cover all aspects of genome assembly and annotation projects from start to finish. We review some commonly used approaches, including practical methods to extract high-quality DNA and choices for the best sequencing platforms and library preparations. In addition, we discuss the range of potential bioinformatics pipelines, including structural and functional annotations (e.g., transposable elements and repetitive sequences). This paper also includes information on how to build a wide community for a genome project, the importance of data management, and how to make the data and results Findable, Accessible, Interoperable, and Reusable (FAIR) by submitting them to a public repository and sharing them with the research community.

Indexed as

GenomeAnimalsComputational BiologyGene LibraryGenomicsHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationRNA-SeqSequence Analysis, DNA

Identifiers

PMID33180771
PMCPMC7660529

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.