ISWAC: proposed system for the integrated assembly of chromosomes

The generation of a physical map as an integral part of sequence project management is a problem that present computer systems do not address. Primarily, the analysis performed is based solely on the information available from a single knowledge level. Management systems that are currently available do not adequately model the multi-layer top down strategy that is most often utilized to manage large scale sequencing projects. Single layered approaches reflect an algorithmic inadequacy since interacting data sets are required to provide a good solution. The analysis tool that is currently under development termed ISWAC, the Integrated System for Wholistic Assembly of Chromosomes, overcomes these limitations by integrating information available from five layers of knowledge. These knowledge layers utilize information from the linkage map, physical map, restriction map, clone strategy map and the DNA sequence itself. The approach we are implementing, reviews current project status and continually refines the experimental strategy necessary to efficiently complete the sequencing task. To facilitate project completion the system is designed to interactively recommend strategies based on partial information. The utility of this tool is enhanced by implementing knowledge representation techniques that allow reasoning with approximate concepts characteristic of these data-sets. In addition, the raw physical data is maintained within an integrated map database to ease data verification. This paper presents the first discussion of the design specifications for a computer system to assimilate the various forms of data that are being generated as part of the human genome project. It was specifically written to stimulate discussion regarding data standardization, translation, analysis and most important, an understandable user-interphase for the molecular biologist. We would hope that interested readers would respond by assisting in the definition of a set of universal data standards and adopting them in their laboratories.