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Briefings in Bioinformatics, one of the leading international resources for experimental practitioners seeking cohesive information on the analysis and interpretation of research data, has announced the publication of a special issue devoted to gene expression studies.
Guest-edited by Paul T. Spellman of University of California, Berkeley, articles in this edition discuss strategies for revealing the true potential of microarrays, concluding that substantial investment in databases, standards and ontologies is necessary in order to construct the shared resources deemed essential for the development of integrated analytical systems.
Contents include:
Opinion Piece- Open Source Software meets gene expression
- Microarray probe selection strategies
- Analysis of cDNA microarray images
- Analysis of large-scale gene expression data
- Exploiting big biology: Integrating large-scale biological data for function interference
- Aelic Association and disease mapping
- Expression Profiler: A suite of web-based tools for the analysis of microarray
- The Microarray Explorer analysis package
- StackPACK clustering system
- GeneSpring and GeNet
- Application of SOTA, a growing neural network algorithm, to gene expression clustering
Contact steve[at]hspublications.co.uk for a sample copy.
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