PoissonSeq

Application data
Biological application domain(s)	Gene expression
Principal bioinformatics method(s)	Differential expression analysis
Technology	Any
Created at	Jun Li
Maintained?	Yes

Summary: Identify differential expressed genes

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Description

This package implements a method for normalization, testing, and false discovery rate estimation for RNA-sequencing data. The description of the method is in Li J, Witten DM, Johnstone I, Tibshirani R (2011). Standardisation and normalisation, testing, and false discovery rate estimation for RNA-sequencing data. To appear, Biostatistics. We estimate the sequencing depths of experiments using a new method based on Poisson goodness-of-fit statistic, calculate a score statistic on the basis of a Poisson log-linear model, and then estimate the false discovery rate using a modified version of permutation plug-in method. A more detailed instruction as well as sample data is available at http://www.stanford.edu/~junli07/research.html.

Links

• PoissonSeq Source code [ edit link ]

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References

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