BOL

In a lot of my work in bioinformatics, I have been using hidden Markov models (HMMs). As a postdoc with David Haussler at UCSC we developed the so-called profile HMMs (refs). Since then I have applied HMMs to membrane proteins (refs) and gene...

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...

Info on Uni Computing (Webpage: http://www.bccs.uni.no/) : Uni Computing (formerly Uni BCCS) is a department of Uni Research, affiliated with the University of Bergen. 5 groups in this lab works on computational resources, methods, algorithms,...

They develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biological...

Information about the department The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 170 faculty and staff and is the largest department of mathematical sciences in the Nordic...

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...

astrobiomike.github.io - This site aims to be a useful resource for bioinformatics beginners. Feel free to jump right in with the section most relevant to you, and if you're not sure, then the place to start is definitely Unix

pybedtools is a Python wrapper for Aaron Quinlan's BEDtools programs

milkweedgenome.org - Some of the useful bioinformatics scripts. For example ... contig-stats.pl is a Perl script that will automatically describe features of a sequence assembly. http://milkweedgenome.org/?q=scripts

bitbucket.org - RCircos package provides a simple and flexible way to make Circos 2D track plots with R and could be easily integrated into other R data processing and graphic manipulation pipelines for presenting large-scale multi-sample genomic research data. It...