Current bioinformatics tools in genomic biomedical research (Review). Export

@article{citeulike:1110405, abstract = {On the advent of a completely assembled human genome, modern biology and molecular medicine stepped into an era of increasingly rich sequence database information and high-throughput genomic analysis. However, as sequence entries in the major genomic databases currently rise exponentially, the gap between available, deposited sequence data and analysis by means of conventional molecular biology is rapidly widening, making new approaches of high-throughput genomic analysis necessary. At present, the only effective way to keep abreast of the dramatic increase in sequence and related information is to apply biocomputational approaches. Thus, over recent years, the field of bioinformatics has rapidly developed into an essential aid for genomic data analysis and powerful bioinformatics tools have been developed, many of them publicly available through the World Wide Web. In this review, we summarize and describe the basic bioinformatics tools for genomic research such as: genomic databases, genome browsers, tools for sequence alignment, single nucleotide polymorphism (SNP) databases, tools for ab initio gene prediction, expression databases, and algorithms for promoter prediction.}, address = {Department of Medicine I, Johannes Gutenberg University, Mainz, Germany. teufel@uni-mainz.de}, author = {Teufel, Andreas and Krupp, Markus and Weinmann, Arndt and Galle, Peter R.}, citeulike-article-id = {1110405}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/16685403}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=16685403}, issn = {1107-3756}, journal = {International journal of molecular medicine}, keywords = {online-resource, review}, month = {June}, number = {6}, pages = {967--973}, posted-at = {2007-02-17 09:35:01}, priority = {2}, title = {Current bioinformatics tools in genomic biomedical research (Review).}, url = {http://view.ncbi.nlm.nih.gov/pubmed/16685403}, volume = {17}, year = {2006} }

TY - JOUR ID - citeulike:1110405 L3 - citeulike-article-id:1110405 N2 - On the advent of a completely assembled human genome, modern biology and molecular medicine stepped into an era of increasingly rich sequence database information and high-throughput genomic analysis. However, as sequence entries in the major genomic databases currently rise exponentially, the gap between available, deposited sequence data and analysis by means of conventional molecular biology is rapidly widening, making new approaches of high-throughput genomic analysis necessary. At present, the only effective way to keep abreast of the dramatic increase in sequence and related information is to apply biocomputational approaches. Thus, over recent years, the field of bioinformatics has rapidly developed into an essential aid for genomic data analysis and powerful bioinformatics tools have been developed, many of them publicly available through the World Wide Web. In this review, we summarize and describe the basic bioinformatics tools for genomic research such as: genomic databases, genome browsers, tools for sequence alignment, single nucleotide polymorphism (SNP) databases, tools for ab initio gene prediction, expression databases, and algorithms for promoter prediction. IS - 6 JF - International journal of molecular medicine SN - 1107-3756 AD - Department of Medicine I, Johannes Gutenberg University, Mainz, Germany. teufel@uni-mainz.de EP - 973 TI - Current bioinformatics tools in genomic biomedical research (Review). VL - 17 SP - 967 KW - online-resource KW - review AU - Teufel, Andreas AU - Krupp, Markus AU - Weinmann, Arndt AU - Galle, Peter PY - 2006/06// UR - http://view.ncbi.nlm.nih.gov/pubmed/16685403 ER -