Report 1 - 12 May 2011
In this short report, I will briefly discuss a number of papers that I have read recently on DNA self-assembly and DNA computing. The papers were particularly interesting as they explain some applications of coding theory and neural networks in designing fault tolerant DNA computing schemes. After the brief summary, I will outline some ideas that I think might be relevant and interesting for the “Statistical Mechanics and Computation of DNA self-assembly” workshop in the end of this month.

Report 2: DNA Computing and Why It Might Be Interesting for a Coding Theorist - 3 June 2011
this a report written for those who have a background in coding theory and wonder how DNA computing might affect their research. In this report, we briefly introduce DNA computing and its advantages. We will then give some motivations about why those who work on coding theory might be interested in DNA computing and discuss a few papers that address some of the interesting related problems. Finally, a number of possible topics for future works are suggested.

25-28 May
Statistical Mechanics and Computation of DNA Self-Assembly Workshop, Mariehamn, Finland
During May 25 to 28, I attended the workshop “Statistical Mechanics and Computation of DNA Self-Assembly” in Mariehamn, Finland. I represented a poster on behalf or our team about associative memories based on DNA strands. The main goal was to explore novel research problems in the realm of DNA computing that might be relevant to our current research interest on non-binary neural networks. The following report summarizes most of the papers presented during the workshop. The workshop consisted of two parts: statistical mechanics of DNA self-assembly and using DNA-self assembly to perform computational tasks. Both parts were interesting and intuitive but the second part was more related to our topics of interest.

Report on the Workshop: "Statistical Mechanics and Computation of DNA self-assembly", 30 May 2011

The poster we presented can be also downloaded from the following link:
Molecular associative memory: An associative memory framework with exponential storage capacity for DNA computing


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