MILANO - custom annotation of microarray results using automatic literature searches

Background: High-throughput genomic research tools are becoming standard in the biologist's toolbox. After processing the genomic data with one of the many available statistical algorithms to identify statistically significant genes, these genes need to be further analyzed for biological significance in light of all the existing knowledge. Literature mining

• Type: Journal
• Year: 2005
• Where: BMCBI
• Authors: Ran Rubinstein, Itamar Simon
• Keywords: Annotation, BMCBI 2005, Genomic Data, MILANO