BOL

Major web resources for cancer genomics research

sourceforge.net - GenoViz provides software applications and re-usable components for data visualization and data sharing in genomics. Our flagship product is Integrated Genome Browser (IGB).For more information about IGB, visit http://bioviz.org.Source code for...

github.com - Library of usual classes and functions written in python and used in the Dyogen team for comparative genomics applications. Collaborative python library used in the DYOGEN teamfor studying the evolution of gene order in...

github.com - Collection of Python libraries to parse bioinformatics files, or perform computation related to assembly, annotation, and comparative genomics. https://github.com/tanghaibao/jcvi More at https://github.com/tanghaibao/jcvi/wiki

A fully funded position as PhD Research Fellow in genomics/bioinformatics is available at the Section for Genetics and Evolutionary Biology (EVOGENE) at the Department of Biosciences, University of Oslo. The fellowship will be for a period of 3...

NBIS is now looking for a new member to support Swedish research in evolutionary, comparative, and population genomics, with a particular focus on conifer genomics. Your tasks will consist of: Advanced bioinformatics analyses within research...

Comparative genomics is the art and science of comparing genomes—across species, within species, or even among individuals—to unravel evolutionary relationships, functional elements, and genetic adaptations. As sequencing technologies have advanced...

Our section develops and applies computational methods for the analysis of massive genomics datasets, focusing on the challenges of genome sequencing and comparative genomics. We aim to improve such foundational processes and translate emerging...

Computational Biologists Open to PhD-student and Post-doc candidates We are looking for wet and computational biologists to work on an ERC funded project in our laboratory located at the Department of Experimental Oncology of the European...

e94, we revolutionised the way we determine transcription factor binding sites, using a new data source from the SELEX project