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In silico gene expression profiling in Cannabis sativa
The cannabis plant and its active ingredients (i.e., cannabinoids and terpenoids) have been socially stigmatized for half a century. Luckily, with more than 430,000 published scientific papers and about 600 ongoing and completed clinical trials, nowadays cannabis is employed for the treatment of man...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414814/ https://www.ncbi.nlm.nih.gov/pubmed/28529696 http://dx.doi.org/10.12688/f1000research.10631.1 |
Sumario: | The cannabis plant and its active ingredients (i.e., cannabinoids and terpenoids) have been socially stigmatized for half a century. Luckily, with more than 430,000 published scientific papers and about 600 ongoing and completed clinical trials, nowadays cannabis is employed for the treatment of many different medical conditions. Nevertheless, even if a large amount of high-throughput functional genomic data exists, most researchers feature a strong background in molecular biology but lack advanced bioinformatics skills. In this work, publicly available gene expression datasets have been analyzed giving rise to a total of 40,224 gene expression profiles taken from cannabis plant tissue at different developmental stages. The resource presented here will provide researchers with a starting point for future investigations with Cannabis sativa. |
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