What's New?
Document Actions
RNA Sequencing
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.
Related pages
People specializing in this area
Graduate Students
Jonas Behr
Alumnae and Alumni
Regina Bohnert, Ph.D.
Publications
-
Stegle, O, Drewe, P, Bohnert, R, Borgwardt, K, and Rätsch, G (2010).
Statistical Tests for Detecting Differential RNA-Transcript Expression from Read Counts
Preprint.
http://precedings.nature.com/documents/4437/version/1
Printable file
-
Bohnert, R and Rätsch, G (2010).
rQuant.web: a tool for RNA-Seq-based transcript quantitation
Nucleic Acids Research, 38(Suppl 2):W348-51.
http://nar.oxfordjournals.org/content/38/suppl_2/W348.long
Printable file
-
Bohnert, R, Behr, J, and Rätsch, G (2009).
Transcript quantification with RNA-Seq data
BMC Bioinformatics, 10(S13):P5.
http://www.biomedcentral.com/1471-2105/10/S13/P5
Printable file
-
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.
http://www.fml.tuebingen.mpg.de/raetsch/projects/qpalma
Printable file
