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University of North Dakota

The Citizen Science Grid is run by Travis Desell, an Assistant Professor in the Computer Science Department at the University of North Dakota. It is hosted by UND's Computational Research Center and Information Technology Systems and Services. The Citizen Science Grid is dedicated to supporting a wide range of research and educational projects using volunteer computing and citizen science.

The goal of DNA@Home is to discover what regulates the genes in DNA. Ever notice that skin cells are different from a muscle cells, which are different from a bone cells, even though all these cells have every gene in your genome? That's because not all genes are 'on' all the time. Depending on the cell type and what the cell is trying to do at any given moment, only a subset of the genes are used, and the remainder are shut off. DNA@home uses statistical algorithms to unlock the key to this differential regulation, using your volunteered computers.

The Subset Sum problem is described as follows: given a set of positive integers S and a target sum t, is there a subset of S whose sum is t? It is one of the well-know, so-called 'hard' problems in computing. It's actually a very simple problem computationally, and the computer program to solve it is not extremely complicated. What's hard about it is the running time – all known exact algorithms have running time that is proportional to an exponential function of the number of elements in the set (for worst-case instances of the problem).


Page Icon Finding Protein Binding Sites Using Volunteer Computing Grids

Page Icon Empirical Support for the High-Density Subset Sum Decision Threshold.

Page Icon Wildlife@Home: Combining Crowd Sourcing and Volunteer Computing to Analyze Avian Nesting Video.

Page Icon DNA@Home: Using Volunteered Computers for Finding Transcription Factor Binding Sites.


Project Statistics

Project Total Credit Project Compute Speed (GFlops)
34276308078 35
Project Avg Daily Credit (7 Day) Project Avg Daily Credit (40 Day)
13175 11165
W.A.S (Work Availability Score) Z.C.D (Zero Credit Days)
1.18 17
Last Stats Update
2020-01-17 23:46:01

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