Complex networks and network mining: developing graph theoretic, mathematical, and computational algorithms for efficient extraction of function from topology of complex real-world networks, such as biological, social, and technological...
Scientific Interests:
Models and software for predicting who is at risk of carrying genetic variants that confer susceptibility to cancer. Application to breast, ovarian, colorectal, pancreatic and skin cancer.
Statistical methods for the...
wist is looking for a Bioinformatics Scientist to join our Production Bioinformatics Team. You will work alongside research scientists, software engineers and data scientists to further deliver on our mission to expand access to best-in-class...
Sandelin group have a deep interest in most biology, but focus on gene regulation and the many areas that are connected with this, including transcriptomics, epigenetics and technological and informatics aspects.
The group is both computational...
Mike Ritchie Lab primary research focus is the detection of susceptibility genes for common diseases such as cancer, diabetes, hypertension, and cardiovascular disease, among others. The approaches will involve the development and application of new...
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Available immediately until 30th November 2015, to work on the development of bioinformatics approaches to aid analysis of data derived from the metabolomic profiling of biological matrices. The successful applicant will lead...
Gagneur lab at Gene Center, Ludwig-Maximilians-Universitaet, Munich, Germany
Deadline for applications : January 15, 2014.
Description :
We seek a talented and motivated post-doc to develop computational methods for inferring the molecular...
Hidden Markov Models, the Viterbi Algorithm, and CpG Islands (in VB6)
Problem :
The CG island is a stretch of DNA (usually longer than 200 bases) in which the frequency of the CG sequence is higher than other regions. It is also called the CpG...