Thumbnails:
List:
Year:
Category:
Session:
Poster:
Getting poster data...
Victor Chistyakov, Mick Correll, John Quackenbush (Dana-Farber Cancer Institute, Boston, MA 02215, USA )
Continued advances in next-generation sequencing technologies are democratizing access to genomic data. This, in turn, has resulted in a growing interest in user-friendly tools that can enable visualization and interpretation of these data. Of the existing genome browsers, the traditional tools like UCSC Genome Browser are based on previous web technologies, and are lacking many features common by modern standards, while newer tools such as JBrowse and the NCBI Sequence Viewer often do not fit idiosyncratic needs of different research groups without extensive modifications. Here we present the CBGB genome browser that combines the benefits of the well known and widely used UCSC Genome Browser, e.g. an extensive collection of annotations, fast image tracks calculation, and a modern, dynamic, web-oriented AXAJ-driven interface with advanced and easy-to-use navigation. CBGB is built on a client-server architecture with a MySQL backend. The client is implemented in JavaScript, while the server is a modified version of the UCSC Genome Browser engine implemented in C/C++ that uses the traditional CGI-based approach.