The ability to perform complex analysis of biological data using, and
integrating, a variety of software tools is fast becoming an essential
skill for the future biologist. High-throughput technology is an area
that relies heavily on such bioinformatic skills. RNA Sequencing is one
such high-throughput area, which is revolutionising measurement of
transcriptome composition, and is becoming the tool of choice for gene
expression studies.
A focus of The Division of Signaling and Functional Genomics (Prof.
Michael Boutros) is deciphering the role of the WNT signaling pathway.
We are looking for a student who is interested in analysis of this
pathway, concentrating on its cross-regulatory role with other signaling
pathways in a human cancer cell line. Working with both experienced
bioinformaticians and experimental biologists, the proposed project will
involve data-mining specific RNASeq datasets, considerable research
into cross-regulatory mechanisms between the signaling pathways, and
data visualization and management techniques.
This project will also involve using a variety of techniques and command
line tools, such as R, a statistical programming language, data-mining,
and data visualization and presentation methods. Data quality
assessment will also form part of the project.
We are looking for a highly motivated student interested in learning
analysis methods of large-scale experimental data. A willingness to
become familiar with a variety of software will be required.
Esther Schmidt
e.schmidt@dkfz.de
Deutsches Krebsforschungszentrum (DKFZ)
Heidelberg
No comments:
Post a Comment