LEAFDATA: a literature-curated database for Arabidopsis leaf development

Szakonyi, Dóra

http://hdl.handle.net/10400.7/551

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Szakonyi_PlantMethods2016.pdf	main article	1.43 MB	Adobe PDF	Download
Szakonyi_PlantMethods2016_ESM1.docx	supplementary material 1	44.33 KB	Microsoft Word XML	Download
Szakonyi_PlantMethods2016_ESM2.docx	supplementary material 2	12.8 KB	Microsoft Word XML	Download
Szakonyi_PlantMethods2016_ESM3.xlsx	supplementary material 3	59.23 KB	Microsoft Excel XML	Download
Szakonyi_PlantMethods2016_ESM4.xlsx	supplementary material 4	60.5 KB	Microsoft Excel XML	Download

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Authors

Szakonyi, Dóra

Abstract(s)

In the post-genomic era, biological databases provide an easy access to a wide variety of scientific data. The vast quantity of literature calls for curated databases where existing knowledge is carefully organized in order to aid novel discoveries. Leaves, the main photosynthetic organs are not only vital for plant growth but also essential for maintaining the global ecosystem by producing oxygen and food. Therefore, studying and understanding leaf formation and growth are key objectives in biology. Arabidopsis thaliana to this date remains the prime experimental model organism in plant science.