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,...

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Bibliographic Details
Published in:Genomics (San Diego, Calif.) Calif.), 2009-03, Vol.93 (3), p.187-195
Main Author: Schattner, Peter
Format: Article
Language:English
Subjects:
Biological and medical sciences
Computational Biology - methods
Databases, Genetic
Datamining
Diverse techniques
Ensembl
Fundamental and applied biological sciences. Psychology
Galaxy
GBrowse
Genes. Genome
Genetics of eukaryotes. Biological and molecular evolution
Genome browsers
Genome databases
Genomes
Genomics - methods
GMOD
Humans
Information Storage and Retrieval - methods
Internet
Mapviewer
Molecular and cellular biology
Molecular genetics
Sequence Alignment
Sequence Analysis, DNA
Software
UCSC Genome Browser
User-Computer Interface
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Summary: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.
ISSN:0888-7543
1089-8646
DOI:10.1016/j.ygeno.2008.10.009