Detecting patterns of protein distribution and gene expression in silico

Most biological information is contained within gene and genome sequences. However, current methods for analyzing these data are limited primarily to the prediction of coding regions and identification sequence similarities. We have developed a computer algorithm, CoSMoS (for context sensitive motif...

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Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS 1999-03, Vol.96 (6), p.2937-2942
Hauptverfasser:	Geraghty, M.T, Bassett, D, Morrell, J.C, Gatto, G.J. Jr, Bai, J, Geisbrecht, B.V, Hieter, P, Gould, S.J
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biological Sciences computer software context sensitive motif searches algorithm cosmos algorithm Fatty acids Fluorescence gene expression Gene Expression Regulation, Fungal Genes Genes, Fungal genetic regulation Genetics Genome, Fungal Genomes identification Medical genetics messenger RNA Microbodies - genetics Microscopy mutants oleate-regulated genes oleate-response element oleic acid Open reading frames peroxisomal proteins peroxisomal targeting signal Peroxisomes promoter regions protein transport Proteins Saccharomyces cerevisiae Saccharomyces cerevisiae - genetics screening Sequence Analysis, DNA - methods signal peptide Software Yeast Yeasts
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