Arabidopsis bioinformatics: tools and strategies

Summary The sequencing of the Arabidopsis thaliana genome 21 years ago ushered in the genomics era for plant research. Since then, an incredible variety of bioinformatic tools permit easy access to large repositories of genomic, transcriptomic, proteomic, epigenomic and other ‘‐omic’ data. In this r...

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Veröffentlicht in:The Plant journal : for cell and molecular biology 2021-12, Vol.108 (6), p.1585-1596
Hauptverfasser: Cantó‐Pastor, Alex, Mason, G. Alex, Brady, Siobhan M., Provart, Nicholas J.
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Sprache:eng
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Zusammenfassung:Summary The sequencing of the Arabidopsis thaliana genome 21 years ago ushered in the genomics era for plant research. Since then, an incredible variety of bioinformatic tools permit easy access to large repositories of genomic, transcriptomic, proteomic, epigenomic and other ‘‐omic’ data. In this review, we cover some more recent tools (and highlight the ‘classics’) for exploring such data in order to help formulate quality, testable hypotheses, often without having to generate new experimental data. We cover tools for examining gene expression and co‐expression patterns, undertaking promoter analyses and gene set enrichment analyses, and exploring protein–protein and protein–DNA interactions. We will touch on tools that integrate different data sets at the end of the article. Significance Statement Bioinformatic tools have become an essential part of a researcher’s toolbox. We review how dozens of such tools can be used for hypothesis generation in Arabidopsis research.
ISSN:0960-7412
1365-313X
DOI:10.1111/tpj.15547