| Title | Bioinformatics methods for the analysis of expression arrays: data clustering and information extraction |
| Publication Type | Journal Article |
| Year of Publication | 2002 |
| Authors | Tamames, J, Clark, D, Herrero, J, Dopazo, J, Blaschke, C, Fernandez, JM, Oliveros, JC, Valencia, A |
| Journal | J Biotechnol |
| Volume | 98 |
| Pagination | 269-83 |
| Keywords | Abstracting and Indexing as Topic/methods *Cluster Analysis *Database Management Systems Databases; Computer-Assisted/methods Information Storage and Retrieval/*methods Internet Medline National Library of Medicine (U.S.) Oligonucleotide Array Sequence Analysis/*methods United States; Genetic Gene Expression Gene Expression Profiling/*methods Image Processing |
| Abstract | Expression arrays facilitate the monitoring of changes in the expression patterns of large collections of genes. The analysis of expression array data has become a computationally-intensive task that requires the development of bioinformatics technology for a number of key stages in the process, such as image analysis, database storage, gene clustering and information extraction. Here, we review the current trends in each of these areas, with particular emphasis on the development of the related technology being carried out within our groups. |
| Notes | Tamames, Javier Clark, Dominic Herrero, Javier Dopazo, Joaquin Blaschke, Christian Fernandez, Jose M Oliveros, Juan C Valencia, Alfonso Review Netherlands Journal of biotechnology J Biotechnol. 2002 Sep 25;98(2-3):269-83. |
| URL | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12141992 |
