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FDM: a graph-based statistical method to detect differential transcription using RNA-seq data

by: Darshan Singh, Christian F. Orellana, Yin Hu, Corbin D. Jones, Yufeng Liu, Derek Y. Chiang, Jinze Liu, Jan F. Prins
Bioinformatics, Vol. 27, No. 19. (01 October 2011), pp. 2633-2640, doi:10.1093/bioinformatics/btr458  Key: citeulike:9675185

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Abstract

Motivation: In eukaryotic cells, alternative splicing expands the diversity of RNA transcripts and plays an important role in tissue-specific differentiation, and can be misregulated in disease. To understand these processes, there is a great need for methods to detect differential transcription between samples. Our focus is on samples observed using short-read RNA sequencing (RNA-seq).


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