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Short description:
Please summarise the application in a few sentences. Avoid links here. Empirical Bayes method to detect differential expression.
Software version:
Biological application domain(s) (Phylogenetics, Genomics, ...):
RNA-Seq quantification
Principal bioinformatics method(s) (Assembly, Mapping, ...):
Statistical calculation and probability
Technology (Sanger, Illumina, 454, SOLiD, Ion Torrent, ...):
Interface (Command line, Web UI, Desktop GUI, SOAP WS, HTTP WS, API, QL):
Resource type (Command-line tool, Web application, Desktop application, Script, Suite, Workbench, Database portal, Workflow, Plug-in, Library, Web API, Web service, SPARQL endpoint):
== Description == <!-- Describe the application in the space below --> ASC borrows information across sequences to establish prior distribution of sample variation, so that biological variation can be accounted for even when replicates are not available. Compared current approaches that simply tests for equality of proportions in two samples, ASC is less biased towards highly expressed sequences and can identify more genes with a greater log fold change at lower overall abundance. <!-- -->
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