LOX: inferring Level Of eXpression from diverse methods of census sequencing.
CONCLUSIONS
We present LOX (Level Of eXpression) that estimates the Level Of gene eXpression from high-throughput-expressed sequence datasets with multiple treatments or samples. Unlike most analyses, LOX incorporates a gene bias model that facilitates integration of diverse transcriptomic sequencing data that arises when transcriptomic data have been produced using diverse experimental methodologies. LOX integrates overall sequence count tallies normalized by total expressed sequence count to provide expression levels for each gene relative to all treatments as well as Bayesian credible intervals.


BACKGROUND
http://www.yale.edu/townsend/software.html
Department of Ecology and Evolutionary Biology and Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.
Zhang
Z
Zhang
Francesc
F
López-Giráldez
Jeffrey P
JP
Townsend
D019295:Computational Biology / Q000379:methods*; D020224:Expressed Sequence Tags; D020869:Gene Expression Profiling / Q000379:methods*; D015966:Gene Expression Regulation, Fungal; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D012984:Software