RNAseq FKPM data from Ink4a.1, Met25, Met35, Met36, and Met38 mouse pancreatic cancer cell lines
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
RNAseq FKPM data from Ink4a.1, Met25, Met35, Met36, and Met38 mouse pancreatic cancer cell lines
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Identifier |
https://doi.org/10.7910/DVN/YZXVA4
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Creator |
Dudgeon, Crissy
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Publisher |
Harvard Dataverse
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Description |
RNAseq FKPM values of mouse cell lines Ink4a.1, Met25, Met35, Met36, and Met38. Pipeline of data: Ink4a.1 and Met cell lines were profiled using standard RNA-seq completed by Azenta Life Sciences (formally known as Genewiz, South Plainfield, NJ). After quality check of the reads using FastQC (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/), we used Salmon to quantify transcript-level expression and EdgeR to identify genes with significantly differential expression between pairs of conditions based on replicated count data from bulk RNA-seq profiling. The normalized data were applied to R package GAGE for gene-set enrichment and pathway analysis. The p-values were corrected for multiple testing using FDR.
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Subject |
Medicine, Health and Life Sciences
pancreatic cancer metastasis syngeneic mouse model |
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Language |
English
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Date |
2023-10-10
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Contributor |
Dudgeon, Crissy
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Type |
RNAseq data of mouse pancreatic cell lines.
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