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CEM | Transcriptome assembly and isoform expression level estimation from biased RNA-Seq reads

Allows users to evaluate isoform abundance level and assemble transcriptome from biased RNA-Seq data simultaneously. CEM is a component elimination algorithm that is able to apprehend the property of multiple types of RNA-Seq biases by using a single parameter. Functionalities included in the application can also be used through the IsoLasso software. It was tested on both simulated and real data.

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CEM classification

CEM specifications

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CEM distribution


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CEM support


  • Wei Li <>


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Department of Computer Science and Engineering, University of California, Riverside, Riverside CA, USA; School of Information Science and Technology, Tsinghua University, Beijing, China

Funding source(s)

Supported by the NIH R01 grant (AI078885).

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