Self-driven web technologist and cross-platform solutions enthusiast with strong analytic mind. Interest in pattern recognition and integration between web platforms and databases. PhD and Engineering degrees in fields of chemistry / bioinformatics with a strong publication record in peer-reviewed journals. Java, Python & PHP programmer. Keen on rock music and rock climbing
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International Supercomputing Conference, Hamburg, Germany 23th June 2009
The International Supercomputing Conference is the Europe’s premier HPC event. The attendance allows observing trends science and technology of High Performance Computing for whole next year. 2009 edition achieved record numbers of attendees and exhibitors, a level of success even more impressive given the international economic crisis. With its move to Hamburg, ISC’09 reached a significantly higher level of attendance, bringing 1,670 HPC industry leaders. Research labs demonstrated their scientific applications of supercomputing in most recent fields such us GPGPU accelerators, clouds and green computing. Furthermore, this, ISC’09 also welcomed several first-time exhibitors. The exhibition brought countless highlights such as the demo of both the IS5000 40 Gb/s infniband switches and low-latency 10 Gigabit Ethernet. The attendance on ISC’09 allows to anticipate future development of ATLAS system and to present current achievements’ of ToK4nEDA team.
Overview Continuous integration (CI) is a development practice which allows testing, building and checking the quality of the application in automated way without manual developer intervention. It requires developers to integrate code into a shared repository several times a day or every commit/merge to the given branch of the repository. Each check-in is then verified by an automated build, allowing teams to detect problems early. While PHP Continuous Integration (PHPCI) does not require the the code compilation as build” one can understand the set of task like testing and quality checks which are performed in timely manner or when the certain conditions are met. PHPCI can be performed on Jenkins Server. The detailed description of jenkins server configuration in is presented here. PHPCI requires PHing package which can be provided into application by Composer.
Fold recognition is a method of fold detecting and protein tertiary structure prediction applied for proteins lacking homologues sequences of known fold and structure deposited in the Protein Data Bank. They are based on assumption that there is strictly limited number of different protein folds in nature, mostly as a result of evolution and due to basic physical and chemical constraints of polypeptide chains. Fold recognition methods are useful for protein structure prediction, evolutionary analysis, metabolic pathways and enzymatic efficiency prediction, molecular docking and drug design. Currently there are about 1300 discovered and characterized protein folds in SCOP and CATH databases. Every newly discovered protein sequence has significant chances to be classified into one of those folds. Many different approaches have been proposed for finding the correct fold for a new sequence and it is often useful to include evolutionary information for query as well as for target proteins.