Now that first generation micro-array technology is becoming standard equipment for more and more bio-molecular groups, the development of tools for analyzing micro-array data is starting to become increasingly more important. Many groups have invested enormous effort in acquiring accurate and reproducible measurements and in how to manage the acquired pieces of raw data in a transparent way. The major challenge that remains, however, is how to analyze these huge sources of information and how to present the found results. GENLAB is a software environment suited for the analysis of biological data. The aim of GENLAB is to collect algorithms that support users in all steps of the analysis process and to allow users to select among many alternative algorithms for each of these steps. This gives the user the unique opportunity to get a thorough understanding of the possibilities and limitations of each of the alternative techniques by easily comparing their results. In many cases such understanding requires enormous effort if learned by studying the mathematical description of the techniques alone. Currently available tools typically focus on a single aspect or provide hardly any alternatives. This has been added to Biological Informatics Subject Tracer™ Information Blog.
posted by Marcus Zillman |
4:08 AM
