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Cited by 509

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

How to usefully compare homologous plant genes and chromosomes as DNA sequences

Open access
Lyons, Eric, Freeling, Michael·2008·The Plant Journal

Abstract

Summary: There are four sequenced and publicly available plant genomes to date. With many more slated for completion, one challenge will be to use comparative genomic methods to detect novel evolutionary patterns in plant genomes. This research requires sequence alignment algorithms to detect regions of similarity within and among genomes. However, different alignment algorithms are optimized for identifying different types of homologous sequences. This review focuses on plant genome evolution and provides a tutorial for using several sequence alignment algorithms and visualization tools to detect useful patterns of conservation: conserved non‐coding sequences, false positive noise, subfunctionalization, synteny, annotation errors, inversions and local duplications. Our tutorial encourages the reader to experiment online with the reviewed tools as a companion to the text.

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Crossref · 10.1111/j.1365-313x.2007.03326.x

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Metadata

Authors
Lyons, E., & Freeling, M.
Venue
The Plant Journal
Publisher
Wiley
Published
2008-02
Volume
53
Issue
4
Pages
661-673
ISSN
  • 0960-7412 (ISSN-L)
  • 1365-313X
OpenAlex
W2146384771
Cited by
509
References
6
FWCI
5.21
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: How to usefully compare homologous plant genes and chromosomes as DNA sequences. https://app.cochat.ai/papers/10.1111/j.1365-313x.2007.03326.x
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Lyons, E., & Freeling, M. (2008). How to usefully compare homologous plant genes and chromosomes as DNA sequences. The Plant Journal. https://doi.org/10.1111/j.1365-313x.2007.03326.x

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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.