Global computing for bioinformatics

Global Computing for Bioinformatics

Global computing, the collaboration of idle PCs via the Internet in a SETI@home style, emerges as a new way of massive parallel multiprocessing with potentially enormous CPU power. Its relations to the broader, fast-moving field of Grid computing are discussed without attempting a review of the latter. This review (i) includes a short table of milestones in global computing history, (ii) lists ...

Data Intensive Computing for Bioinformatics

Granular Computing Methods in Bioinformatics* Granular Computing Methods in Bioinformatics

Permission is granted to quote short excerpts and to reproduce figures and tables from this report, provided that the source of such material is fully acknowledged.

Cloud Computing in Bioinformatics

Cloud Computing presents a new approach to allow the development of dynamic, distributed and highly scalable software. For this purpose, Cloud Computing offers services, software and computing infrastructure independently through the network. To achieve a system that supports these characteristics, Service-Oriented Architectures (SOA) and agent frameworks exist which provide tools for developin...

Soft Computing in Bioinformatics

s GO annotations Exession Me thy lat ion Keller/Popescu Tutorial 20 Sequence Comparison: Definitions • Sequence alignment: – A one-to-one matching of two sequences so that each character in a pair of sequences is associated with a single character of the other sequence or with a null character (gap) • Types of alignment: – Pair-wise vs. multiple – Global vs. local – Gapped vs ungapped • Homolog...