Genomics made easier: an introductory tutorial to genome datamining.
Integrated genome databases--such as the UCSC, Ensembl and NCBI MapViewer databases--and their associated data querying and visualization interfaces (e.g. the genome browsers) have transformed the way that molecular biologists, geneticists and bioinformaticists analyze genomic data. Nevertheless, because of the complexity of these tools, many researchers take advantage of only a fraction of their capabilities. In this tutorial, using examples from medical genetics and alternative splicing, I describe some of the biological questions that can be addressed with these techniques. I also show why doing so typically is more effective than using alternative methods and indicate some of the resources available for learning more about the advanced capabilities of these powerful tools.
Schattner
Peter
P
Center for Biomolecular Science and Engineering, University of California, Santa Cruz, CA 95065, USA. schattner@soe.ucsc.edu
D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D023281:Genomics / Q000379:methods*; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D016415:Sequence Alignment; D017422:Sequence Analysis, DNA; D012984:Software; D014584:User-Computer Interface