Difference between revisions of "BaySeq"
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{{Bioinformatics application | {{Bioinformatics application | ||
|sw summary=Identify differential expressed genes | |sw summary=Identify differential expressed genes | ||
| + | |bio domain=RNA-Seq Quantitation, | ||
| + | |bio method=Differentially expressed gene identification, | ||
| + | |bio tech=Illumina, | ||
|created by=Thomas J. Hardcastle | |created by=Thomas J. Hardcastle | ||
| + | |maintained=Yes | ||
| + | |language=R, | ||
}} | }} | ||
== Description == | == Description == | ||
Revision as of 10:27, 27 October 2011
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Application data |
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| Created by | Thomas J. Hardcastle |
|---|---|
| Biological application domain(s) | RNA-Seq Quantitation |
| Principal bioinformatics method(s) | Differentially expressed gene identification |
| Technology | Illumina |
| Maintained? | Yes |
| Programming language(s) | R |
Summary: Identify differential expressed genes
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Description
This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.
Links
References
To add a reference for BaySeq, enter the PubMed ID in the field below and click 'Add'.
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