| Title | A Method for Cross-Species Visualization and Analysis of RNA-Sequence Data. |
| Publication Type | Journal Article |
| Year of Publication | 2018 |
| Authors | Ramsey, SA |
| Journal | Methods Mol Biol |
| Volume | 1702 |
| Pagination | 291-305 |
| Date Published | 2018 |
| ISSN | 1940-6029 |
| Keywords | Algorithms, Animals, Computational Biology, Computer Graphics, Dogs, Gene Expression Profiling, Humans, RNA, Messenger, Sequence Analysis, RNA, Urinary Bladder Neoplasms, Workflow |
| Abstract |
In this methods article, I describe a computational workflow for cross-species visualization and comparison of mRNA-seq transcriptome profiling data. The workflow is based on gene set variation analysis (GSVA) and is illustrated using commands in the R programming language. I provide a complete step-by-step procedure for the workflow using mRNA-seq data sets from dog and human bladder cancer as an example.
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| DOI | 10.1007/978-1-4939-7456-6_14 |
| Alternate Journal | Methods Mol Biol |
| PubMed ID | 29119511 |
OREGON STATE UNIVERSITY
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