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In silico gene expression profiling of Cannabis sativa

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NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE93201
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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 within different Cannabis tissues/developmental stages. The resource here proposed will provide researchers with a starting point for future investigations of Cannabis sativa. Thirty-one publicly available RNA-seq datasets have been re-analyzed from BioProject PRJNA80055 (SRA Study SRP006678) and BioProject PRJNA73819 (SRA Study SRP008673). Details of the 31 re-analyzed samples and data processing can be found in Readme.txt. Re-analysis results can be found in Gene_expression_counts.txt.
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2019-07-08
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