Author

Serhat Güler

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:transcription & RNA processing· 1

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Andreas Tuerk· 1 shared Gregor Wiktorin· 1 shared

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2014-2014 · peak 1/yr

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1 shared paperBioinformatics

Andreas Tuerk

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1 paper

Recent·Most cited

BioinformaticsbioRxivNov 24, 2014

Mixture models reveal multiple positional bias types in RNA-Seq data and lead to accurate transcript concentration estimates

Andreas Tuerk, Gregor Wiktorin, Serhat Güler

The paper introduces Mix2, a model that improves RNA-Seq transcript quantification by accounting for positional fragment bias, leading to more accurate abundance estimates and better differential expression detection.

DOI 10.1371/journal.pcbi.1005515

humanbulk RNA-seq

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