In silico gene expression profiling in Cannabis sativa [version 1; referees: 2 approved]

• Main Author: Luca Massimino
• Format: Article
• Language: English
• Published: F1000 Research Ltd 2017-01-01
• Series: F1000Research
• Subjects: Bioinformatics; Genomics
• Online Access: https://f1000research.com/articles/6-69/v1

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.