RNA sequencing (RNA-Seq) refers to experimental approaches that use next-generation sequencing technologies to profile transcriptomes. To address limitations that come along with the particular design of these techniques, sophisticated computational methods are needed. Our work focuses on the development of tools for data processing (spliced read alignment) as well as tools suitable for quantitative data analysis, with main interest in revealing alternative transcripts and understanding alternative splicing.
People specializing in this area
Stegle, O, Drewe, P, Bohnert, R, Borgwardt, K, and Rätsch, G (2010).
Statistical Tests for Detecting Differential RNA-Transcript Expression from Read Counts
Bohnert, R and Rätsch, G (2010).
rQuant.web: a tool for RNA-Seq-based transcript quantitation
Nucleic Acids Research, 38(Suppl 2):W348-51.
De Bona, F, Ossowski, S, Schneeberger, K, and Rätsch, G (2008).
QPALMA: Optimal Spliced Alignments of Short Sequence Reads
In: Bioinformatics/Proc. ECCB'08, Oxford University Press.