GOLEM - Grid On computationaL Electro-Magnetics

The goal of this project is to produce a Beowulf claster of modular computational infrastructute especially designed for Computational Electromagnetics (CEM) . Initially in GOLEM we would like simply a cluster skeleton which could be applied to any preexisting computational code with a minimum effort. Making sure that the code is as portable as possible will hopefully increase the usefulness of the package. Beowulf Cluster widely-used term meaning independent computers combined into a unified system through software and networking based on commodity hardware, on a private system network. One of the main goals of GOLEM project is Design of the advanced PC cluster of Beowulf type and its integration with local and European Grid Network for solving of large system of linear equations by direct (sparse matrices solvers) and iterative methods. The infrastructure will support industry and also other research projects.

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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. Jakub Paś Jakub Paś Ja

NaRCiSuS

Structural genomics is the wide term which describes process of determination of structure representation of information in human genome and at present is limited almost exclusively on proteins. Although in common understanding genetic information means “genes and their encoded protein products”, thousands of human genes produce transcripts which are important in biological point of view but they do not necessarily produce proteins. Furthermore, even though the sequence of the human DNA is known by now, the meaning of the most of the sequences still remains unknown. It is very likely that a large amount of genes has been highly underestimated, mainly because the actual gene finders only work well for large, highly expressed, evolutionary conserved protein-coding genes. Most of those genome elements encode for RNA from which transfer and ribosomal RNAs are the classical examples. But beside these well-known molecules there is a vast unknown world of tiny RNAs that might play a crucial r

GRDB – Gene Relational DataBase

We have developed a fully automated web service available for the academic community which purpose is to increase the sensitivity of the detection of distantly related protein families. Predicted secondary structure information was added to the information about sequence conservation and variability, a technique known from hybrid threading approaches. The accuracy of the meta proﬁles created this way is compared with proﬁles containing only sequence information and with the standard approach of aligning a single sequence with a proﬁle. Additionally, the alignment of meta proﬁles is more sensitive in detecting remote homology between protein families and more effective than aligning two sequence-only proﬁles or proﬁle to sequence. The speciﬁcity of the alignment score is improved in it’s lower range compared to the robust sequence-only proﬁles. ( More ) Comprehensive classification of nucleotidyltransferase fold proteins: identification of novel families and their representatives in

Jakub Paś

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