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Volumn 3, Issue , 2016, Pages

Quantitative monitoring of Arabidopsis thaliana growth and development using high-throughput plant phenotyping

Author keywords

[No Author keywords available]

Indexed keywords

ARABIDOPSIS PROTEIN;

EID: 84982110401     PISSN: None     EISSN: 20524463     Source Type: Journal    
DOI: 10.1038/sdata.2016.55     Document Type: Article
Times cited : (31)

References (15)
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    • Optimizing experimental procedures for quantitative evaluation of crop plant performance in high throughput phenotyping systems
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    • ISA software suite: Supporting standards-compliant experimental annotation and enabling curation at the community level
    • Rocca-Serra, P. et al. ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level. Bioinformatics 26, 2354-2356 (2010).
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    • Rocca-Serra, P.1
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    • Törjék, O.1
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    • Integrated analysis platform: An open-source information system for high-throughput plant phenotyping
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    • Klukas, C.1    Chen, D.2    Pape, J.M.3
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    • Arend, D. et al. PGP repository: a plant phenomics and genomics data publication infrastructure. Database 2016, 1-10 (2016).
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    • Harshavardhan, V.T. et al. AtRD22 and AtUSPL1, Members of the Plant-Specific BURP Domain Family Involved in Arabidopsis thaliana Drought Tolerance. PLoS ONE 9(10), 1-14 (2014).
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    • Harshavardhan, V.T.1
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    • Phenotypic and metabolic responses to drought and salinity of four contrasting lentil accessions
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.