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he world of biocomputing or biomolecular computing a mix of biomolecular research and computer science. Research by Neil D. Jones, Jakob Grue Simonsen and Lars Hartmann has uncovered a niche virtually untouched: Regular programs as written by computer science programmers. Others have addressed ``hardware/wetware'' for computation as one of the facets while others research computer science approaches for aiding and modeling biology. The niche explored by Jones et al. and this thesis somewhat joins the ideas of both worlds and suggests a novel contribution; A biomolecular plausible instruction set, with the promise of programmability on level which will be familiar to regular computer science programmers. This thesis will expand on the biomolecular instruction set - defined as a part of the Blob programming model in [1] - by designing and devloping an intermediate level programming language -\bplc\. The Blob model was lacking in formal semantics and a formal operational semantics for both the blob instruction set and the developed programming language will be provided. The related work of the biocomputing community will be sampled and presented and the contribution of a programming language for a biomolecular computational model will be compared and held into perspective. A compiler for the programming language into the blob instruction set is provided

n the connection between biology and compution, which has been researched and discussed in decades, one question seems notable by its absence: Where are the programs? The report below provides a short introduction to biomolecular computing from Von Neumann to recent advances using process alegra for modeling biochemical interactions. as well as a description of the ``blob-model''. The ``blob-model'' is a model of computation devised by Hartmann, Jones and Simonsen[1]. The model provides machine instructions possibly executable in a biomolecular setting and aim to enable programmers to write programs which could be executed in a biomolecular context. The model is claimed to be biological plausible, demonstrated programmable and provably stored-program, universal, uniform and Turing-complete[1]. In an effort to support or disprove these claims as well as explore the properties of the model, a visualization tool for running the programs in the blob-model has been developed. This site provides the downloadable program as well as Based on the tool the report below provide a discussion on previously undiscovered aspects of the blob-model.

We provide an introduction to Optical Music Recognition research along with a working tool for doing pre-processing of high quality scanned sheetm music to aid current commerical tools when the purpose is automated gathering of statistical information from large music corpora. This is implemented by using the Gamera Open Source framework for Document Image Analysis and uses a K-Nearest-Neighbor recognizer for recognizing and removing dynamic symbols like ``forte'' and ``pianisimo''. For text identification and removal different image projection and estimation techniques is used.

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