Author

Andreas Tuerk

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:human· 1 Research Focus:transcription & RNA processing· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Gregor Wiktorin· 2 shared Serhat Güler· 1 shared

Activity by Year

2014-2014 · peak 2/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Gregor Wiktorin

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2 papers

Recent·Most cited

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.

bioRxiv · Nov 24, 2014Bioinformatics

Simultaneous estimation of transcript abundances and transcript specific fragment distributions of RNA-Seq data with the Mix2 model

Andreas Tuerk, Gregor Wiktorin

The paper introduces the Mix2 model to improve RNA-Seq transcript abundance estimation by correcting fragment bias and annotation errors, showing superior performance over existing tools.

bioRxiv · Jun 4, 2014 · PreprintBioinformatics