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The Bioconductor project produces an open source software framework that will assist biologists and statisticians working in bioinformatics, with primary emphasis on inference using DNA microarrays, built mostly using R.
Predict metabolic pathways from genomes and graphically depict pathways. Visualize gene expression data on a metabolic pathway map. Generate a metabolic wall chart. Includes a genome browser and support for transcriptional regulatory networks.
Guide to running this programming language. Library contains programs to compute pairwise alignments, phylogenetic trees, multiple sequence alignments, and to make secondary structure predictions.
BioLisp.org is a public resource supporting scientists who use Lisp to develop intelligent applications in the biological sciences. We collect and disseminate Lisp biocomputing code, and gather pointers to Lisp and other Intelligent BioComputing methods.
The National Cancer Institute's Center for Bioinformatics produces the caCORE infrastructure, an open-source enterprise architecture for cancer informatics.