 
What is climateprediction.net?
Climateprediction.net is the largest
experiment to try and produce a forecast of the climate in the 21st century.
To do this, we need people around the world to give us time on their
computers - time when they have their computers switched on, but are not
using them to their full capacity.
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Einstein@Home is a program that uses your
computer's idle time to search for spinning neutron stars (also called
pulsars) using data from the LIGO and GEO gravitational wave detectors.
Einstein@Home is a World Year of Physics 2005 project supported by the
American Physical Society (APS) and by a number of international
organizations.
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The Large Hadron Collider (LHC) is a particle
accelerator which is being built at CERN, the European Organization for
Nuclear Research, the world's largest particle physics laboratory. When it
will switch on in 2007, it will be the most powerful instrument ever built
to investigate on particles proprieties.
The LHC will take the place of CERN's
Large Electron
Positron (LEP) collider, and will sit in its 27 Km long tunnel, about
100m underground. It will accelerate 2 separate beams of protons up to an
energy of 7 TeV , and then bring them into head-on collisions (from here the
name "collider"). The protons collision energy will then be of 14 TeV. But
the LHC will not be limited to the study of proton-proton collisions as it
can also collide heavy ions, such as lead, with a collision energy of 1148
TeV.
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What is Predictor@home?
Predictor@home is a world-community experiment and effort to use distributed
world-wide-web volunteer resources to assemble a supercomputer able to
predict protein structure from protein sequence. Our work is aimed at
testing and evaluating new algorithms and methods of protein structure
prediction. We recently performed such tests in the context of the Sixth
Biannual
CASP (Critical Assessment of Techniques for Protein Structure Prediction)
experiment, and now need to continue this development and testing with
applications to real biological targets. Our goal is to utilize these
approaches together with the immense computer power that can be harnessed
through the internet and volunteers all over the world (you!) to address
critical biomedical questions of protein-related diseases. Predictor@home is
a pilot project of the Berkeley Open Infrastructure for Network Computing (BOINC)
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 Rosetta@home
needs your help to determine the 3-dimensional shapes of proteins in
research that may ultimately lead to finding cures for some major human
diseases. By running the Rosetta program on your computer while you don't
need it you will help us speed up and extend our research in ways we
couldn't possibly attempt without your help. You will also be helping our
efforts at designing new proteins to fight diseases such as HIV, Malaria,
Cancer, and Alzheimer's
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Was ist SETI@home?
SETI@home ist ein wissenschaftliches Experiment,
welches über das Internet verbundene Computer für die Suche nach
ausserirdischer Intelligenz (SETI) nutzt. Sie können teilnehmen, indem Sie
ein kostenloses Programm installieren, das selbständig die Daten eines
Radioteleskops herunterlädt und analysiert.
Alle angezeigten Mitglieder waren an der
Vorgängerversion von Seti@Home beteiligt. Diese Vorgängerversion wurde am 15.
12.2005 eingestellt und durch BOINC ersetzt! |
 Similarity Matrix of Proteins
What is SIMAP?
SIMAP is a database of protein similarities. It contains about all currently
published protein sequences and is continuously updated. Protein
similarities are computed using the FASTA algorithm which provides optimal
speed and sensitivity. SIMAP is to our knowledge the only project that
combines comprehensive coverage with respect to all known proteins and
incremental update capabilities.
What is SIMAP used for?
Because of the huge amount of known protein sequences in public databases it
became clear that most of them will not be experimentally characterized in
the near future. Nevertheless, proteins that have evolved from a common
ancestor often share same functions (so-called orthologs). So it is possible
to infer the function of a non-characterized protein from an ortholog with
known function. A well-known example are the investigations about mouse
genes and proteins. Their results are also beeing true for orthologous human
genes and proteins in many cases. Protein similarities provide information
about relations between proteins and are necessary for the prediction of
orthologs. There are many more bioinformatics methods that rely on protein
similarity. Our protein similarity database provides pre-computed similarity
data and represents the known protein space. This opens completely new
perspectives compared to the commonly used method to repeatedly re-calculate
such kind of data. SIMAP is regularly updated. The similarity matrix is
simply beeing incrementally extended if new sequences occur. The use of
SIMAP is completely free for education and public research.
Why do we need distributed computing for SIMAP?
The computational costs to calculate the similarity data depend on the
square of the number of contained sequences. So the computational effort for
keeping the matrix up-to-date is constantly increasing. Our internal
resources that perform calculations for SIMAP since years are not longer
sufficient to keep track of all new sequences. That's why we implemented a
SIMAP-client for the BOINC platform (Berkeley Open Infrastructure for
Network Computing) which is based on the FASTA algorithm to detect sequence
similarities. We 're running the last tests now and are about to start a
BOINC based project that will contribute to SIMAP similarity calculations
soon.
What are the institutions behind SIMAP?
SIMAP is a joint project of the GSF National Research Center for Environment
and Health, Neuherberg and Technical University Munich, Center of Life and
Food Science Weihenstephan (both in Germany). Please contact Thomas Rattei
(Department of Genome Oriented Bioinformatics, TU Munich).
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BinSYS Project
Project description
Aims
The aim
of the project is
to find
all the
generalized binary
number systems up to
dimension 11. Below
we give a short
description of
the number
system concept and
mention a few possible
applications.
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What is μFluids?
μFluids project is a massively distributed computer
simulation of two-phase fluid behavior in microgravity and microfluidics
problems. Our goal is to design better satellite propellant management
devices and address two-phase flow in microchannel and MEMS devices.
Voluntary collaboration of individual computer users, like you, can
participate by donating idle computer time using the BOINC software.
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Wir leben...
... in einer Welt voller Moleküle: Moleküle sind die Bausteine unserer
Körper und Reaktionen zwischen Molekülen sind die essentiellen Phänomene
hinter allen Lebensprozessen. Wir atmen, essen und benutzen Moleküle jeden
Tag.
Auf der Grundlage dieser Tatsache ...
... wird die große Bedeutung des Wissens über molekulare Strukturen und die
Nützlichkeit der genauen Vorhersage molekularer Reaktivität offensichtlich.
Die Quantentheorie
- beschreibt die Strukturen und die Reaktivität aller Moleküle, aber die
Gleichungen der Quantentheorie werden unlößbar komplex mit zunehmender
Systemgröße. Exakte, analytische Lösungen sind nur für die kleinsten Systeme
möglich, für annähernd alle chemisch, biologisch oder medizinisch
interessanten Moleküe sind solche Lösungen nicht bekannt.
Die Quantenchemie
- ist die Wissenschaft, in der geschickte Näherungen zur Quantentheorie
verwendet werden, um trotzdem an molekulare Informationen mit hoher
Genauigkeit zu gelangen. Nichtsdestotrotz werden für die Lösung selbst der
genäherten quantenchemischen Gleichungen große Rechenzeitkapazitäten
benötigt.
Quanten Monte Carlo (QMC)
- ist eine sehr vielversprechende Methode, die bisher wenig Anwendung in der
Quanten Chemie gefunden hat. Einer der größten Vorteile der QMC Methode ist
die Möglichkeit massiv paralleler Rechnungen, ein Vorteil, der ausgenutzt
werden kann, um den Horizont der berechenbaren Systeme aufzuweiten, indem
die notwendige Rechenarbeit über hunderte, oder sogar tausende von
Prozessoren verteilt wird.
Quantum Monte Carlo At Home (QMC@HOME)
- ist ein Projekt, dass der Weiterentwicklung der Quanten Monte Carlo
Methode hin zur allgemeinen Verwendbarkeit in der Quantenchemie dienen soll.
Mit der Hilfe von Freiwilligen auf der ganzen Welt wollen wir die Rechenzeit
aufbringen, die benötigt wird, um die Möglichkeiten des vielversprechenden,
neuen Ansatzes der Quanten Monte Carlo Methode zu testen und weiter zu
entwickeln. |
