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Cited by 304

The DOI matches its Crossref record; 180 of the 180 references it cites were found in a registry or an index.

Long walk to genomics: History and current approaches to genome sequencing and assembly

Open access
Giani, Alice Maria, Gallo, Guido Roberto, Gianfranceschi, Luca, Formenti, Giulio·2020·Computational and Structural Biotechnology Journal

Abstract

Genomes represent the starting point of genetic studies. Since the discovery of DNA structure, scientists have devoted great efforts to determine their sequence in an exact way. In this review we provide a comprehensive historical background of the improvements in DNA sequencing technologies that have accompanied the major milestones in genome sequencing and assembly, ranging from early sequencing methods to Next-Generation Sequencing platforms. We then focus on the advantages and challenges of the current technologies and approaches, collectively known as Third Generation Sequencing. As these technical advancements have been accompanied by progress in analytical methods, we also review the bioinformatic tools currently employed in de novo genome assembly, as well as some applications of Third Generation Sequencing technologies and high-quality reference genomes.

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Metadata

Authors
Giani, A. M., Gallo, G. R., Gianfranceschi, L., & Formenti, G.
Venue
Computational and Structural Biotechnology Journal
Published
2020
Volume
18
Pages
9-19
ISSN
2001-0370 (ISSN-L)
OpenAlex
W2988628263
Cited by
304
References
180
FWCI
9.45
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Long walk to genomics: History and current approaches to genome sequencing and assembly. https://app.cochat.ai/papers/10.1016/j.csbj.2019.11.002
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Giani, A. M., Gallo, G. R., Gianfranceschi, L., & Formenti, G. (2020). Long walk to genomics: History and current approaches to genome sequencing and assembly. Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2019.11.002

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.