Computational approaches to identify regulators of plant stressresponse using high-throughput gene expression data

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Computational approaches to identify regulators of plant stressresponse using high-throughput gene expression data

Alexandr Koryachko [et al.] - Nama Orang;

Insight into biological stress regulatory pathways can be derived from high-throughput transcriptomicdata using computational algorithms. These algorithms can be integrated into a computational approachto provide specific testable predictions that answer biological questions of interest. This review conceptu-ally organizes a wide variety of developed algorithms into a classification system based on desired type ofoutput predictions. This classification is then used as a structure to describe completed approaches in theliterature, with a focus on project goals, overall path of implemented algorithms, and biological insightgained. These algorithms and approaches are introduced mainly in the context of research on the modelplant species Arabidopsis thaliana under stress conditions, though the nature of computational techniquesmakes these approaches easily applicable to a wide range of species, data types, and conditions.

Keywords:Stress responseTranscription factorsGene regulatory networksAlgorithmsArabidopsis thaliana

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Judul Seri: Current Plant Biology
No. Panggil: -
Penerbit: : Elsevier Science Inc.., 2015
Deskripsi Fisik: Current Plant Biology 3-4 (2015) 20–29
Bahasa: English
ISBN/ISSN: -
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Tipe Media: -
Tipe Pembawa: -
Edisi: -
Subjek: KIMIA
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Wati/Agus

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FULL TEXT:Computational approaches to identify regulators of plant stressresponse using high-throughput gene expression data

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